-
1
-
-
0344453230
-
Application of partial least-squares modelling in the optimization of a waste-water treatment plant
-
Aarnio P., Minkkinen P. Application of partial least-squares modelling in the optimization of a waste-water treatment plant. Anal. Chim. Acta 1986, 191:457-460.
-
(1986)
Anal. Chim. Acta
, vol.191
, pp. 457-460
-
-
Aarnio, P.1
Minkkinen, P.2
-
2
-
-
52949138733
-
Multivariate statistical monitoring of continuous wastewater treatment plants
-
Aguado D., Rosen C. Multivariate statistical monitoring of continuous wastewater treatment plants. Eng. Appl. Artif. Intell. 2008, 53:1080-1091.
-
(2008)
Eng. Appl. Artif. Intell.
, vol.53
, pp. 1080-1091
-
-
Aguado, D.1
Rosen, C.2
-
3
-
-
33750734428
-
Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment
-
Aguado D., Ferrer A., Seco A., Ferrer J. Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment. Chemometr. Intell. Lab. 2006, 84:75-81.
-
(2006)
Chemometr. Intell. Lab.
, vol.84
, pp. 75-81
-
-
Aguado, D.1
Ferrer, A.2
Seco, A.3
Ferrer, J.4
-
4
-
-
33845485486
-
Multivariate SPC of a sequencing batch reactor for wastewater treatment
-
Aguado D., Ferrer A., Ferrer J., Seco A. Multivariate SPC of a sequencing batch reactor for wastewater treatment. Chemometr. Intell. Lab. 2007, 85:82-93.
-
(2007)
Chemometr. Intell. Lab.
, vol.85
, pp. 82-93
-
-
Aguado, D.1
Ferrer, A.2
Ferrer, J.3
Seco, A.4
-
5
-
-
34447537782
-
Process understanding of a wastewater batch reactor with block-wise PLS
-
Aguado D., Zarzo M., Seco A., Ferrer A. Process understanding of a wastewater batch reactor with block-wise PLS. Environmetrics 2007, 18:551-560.
-
(2007)
Environmetrics
, vol.18
, pp. 551-560
-
-
Aguado, D.1
Zarzo, M.2
Seco, A.3
Ferrer, A.4
-
6
-
-
58249091983
-
Amethodology for sequencing batch reactor identification with artificial neural networks: a case study
-
Aguado D., Ribes J., Montoya T., Ferrer J., Seco A. Amethodology for sequencing batch reactor identification with artificial neural networks: a case study. Comput. Chem. Eng. 2009, 33:465-472.
-
(2009)
Comput. Chem. Eng.
, vol.33
, pp. 465-472
-
-
Aguado, D.1
Ribes, J.2
Montoya, T.3
Ferrer, J.4
Seco, A.5
-
7
-
-
0020338469
-
The process of classification and learning the meaning of linguistic descriptors of concepts
-
North-Holland Publishing Company, New York, M. Gupta, E. Sanchez (Eds.)
-
Aguilar-Martin J., López de Mántaras R. The process of classification and learning the meaning of linguistic descriptors of concepts. Approximate Reasoning in Decision Analysis 1982, 165-175. North-Holland Publishing Company, New York. M. Gupta, E. Sanchez (Eds.).
-
(1982)
Approximate Reasoning in Decision Analysis
, pp. 165-175
-
-
Aguilar-Martin, J.1
López de Mántaras, R.2
-
8
-
-
33646741559
-
Integrated soft sensor model for flow control
-
Äijälä G., Lumley D. Integrated soft sensor model for flow control. Wat. Sci. Tech. 2006, 53:473-482.
-
(2006)
Wat. Sci. Tech.
, vol.53
, pp. 473-482
-
-
Äijälä, G.1
Lumley, D.2
-
10
-
-
84892215705
-
-
Springer
-
Ansari A.A., Gill S.S., Lanza G.R., Rast W. Eutrophication: Causes, Consequences and Control 2010, Springer.
-
(2010)
Eutrophication: Causes, Consequences and Control
-
-
Ansari, A.A.1
Gill, S.S.2
Lanza, G.R.3
Rast, W.4
-
12
-
-
0033611717
-
Non-linear projection to latent structures revisited: the quadratic PLS algorithm
-
Baffi G., Martin E., Morris A. Non-linear projection to latent structures revisited: the quadratic PLS algorithm. Comput. Chem. Eng. 1999, 23:395-411.
-
(1999)
Comput. Chem. Eng.
, vol.23
, pp. 395-411
-
-
Baffi, G.1
Martin, E.2
Morris, A.3
-
13
-
-
85000305072
-
Real-time fault detection and isolation in biological wastewater treatment plants
-
Baggiani F., Marsili-Libelli S. Real-time fault detection and isolation in biological wastewater treatment plants. Water Sci. Technol. 2009, 60:2949-2961.
-
(2009)
Water Sci. Technol.
, vol.60
, pp. 2949-2961
-
-
Baggiani, F.1
Marsili-Libelli, S.2
-
15
-
-
0037191667
-
Nonlinear PLS modeling with fuzzy inference system
-
Bang Y., Yoo C., Lee I.B. Nonlinear PLS modeling with fuzzy inference system. Chem. Int. Lab. Sys. 2003, 64:137-155.
-
(2003)
Chem. Int. Lab. Sys.
, vol.64
, pp. 137-155
-
-
Bang, Y.1
Yoo, C.2
Lee, I.B.3
-
16
-
-
70349592179
-
ALevenberg-Marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess
-
Baruch I.S., Mariaca-Gaspar C.R. ALevenberg-Marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess. Int. J. Intell. Syst. 2009, 24:1094-1114.
-
(2009)
Int. J. Intell. Syst.
, vol.24
, pp. 1094-1114
-
-
Baruch, I.S.1
Mariaca-Gaspar, C.R.2
-
17
-
-
84958970477
-
Adaptive neural control of nonlinear systems
-
Springer, Berlin, G. Dorffner, H. Bischof, K. Hornik (Eds.)
-
Baruch I., Flores J., Thomas F., Garrido R. Adaptive neural control of nonlinear systems. Artificial Neural Networks - ICANN 2001 2001, 930-936. Springer, Berlin. G. Dorffner, H. Bischof, K. Hornik (Eds.).
-
(2001)
Artificial Neural Networks - ICANN 2001
, pp. 930-936
-
-
Baruch, I.1
Flores, J.2
Thomas, F.3
Garrido, R.4
-
18
-
-
13844296578
-
Adaptive recurrent neural network control of biological wastewater treatment
-
Baruch I.S., Georgieva P., Barrera-Cortes J. Adaptive recurrent neural network control of biological wastewater treatment. Int. J. Intell. Syst. 2005, 20:173-193.
-
(2005)
Int. J. Intell. Syst.
, vol.20
, pp. 173-193
-
-
Baruch, I.S.1
Georgieva, P.2
Barrera-Cortes, J.3
-
19
-
-
0032961142
-
Towards a model of input-output behaviour of wastewater treatment plants using soft computing techniques
-
Belanche L.A., Valdés J.J., Comas J., Roda I.R., Poch M. Towards a model of input-output behaviour of wastewater treatment plants using soft computing techniques. Environ. Model. Softw. 1999, 14:409-419.
-
(1999)
Environ. Model. Softw.
, vol.14
, pp. 409-419
-
-
Belanche, L.A.1
Valdés, J.J.2
Comas, J.3
Roda, I.R.4
Poch, M.5
-
20
-
-
0034291633
-
Prediction of the bulking phenomenon in wastewater treatment plants
-
Belanche L., Valdés J.J., Comas J., Roda I.R., Poch M. Prediction of the bulking phenomenon in wastewater treatment plants. Artif. Intell. Eng. 2000, 14:307-317.
-
(2000)
Artif. Intell. Eng.
, vol.14
, pp. 307-317
-
-
Belanche, L.1
Valdés, J.J.2
Comas, J.3
Roda, I.R.4
Poch, M.5
-
21
-
-
0021583718
-
FCM: the fuzzy c-means clustering algorithm
-
Bezdek J., Ehrlich R., Full W. FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 1984, 10:191-203.
-
(1984)
Comput. Geosci.
, vol.10
, pp. 191-203
-
-
Bezdek, J.1
Ehrlich, R.2
Full, W.3
-
22
-
-
33646728374
-
Automatic detection of exogenous respiration end-point using artificial neural network
-
Bisschops I., Spanjers H., Keesman K. Automatic detection of exogenous respiration end-point using artificial neural network. Water Sci. Technol. 2006, 53:273-281.
-
(2006)
Water Sci. Technol.
, vol.53
, pp. 273-281
-
-
Bisschops, I.1
Spanjers, H.2
Keesman, K.3
-
23
-
-
0343380932
-
Indirect measurement of key water quality parameters in sewage treatment plants
-
Blom H.A. Indirect measurement of key water quality parameters in sewage treatment plants. J.Chemometr. 1996, 10:697-706.
-
(1996)
J.Chemometr.
, vol.10
, pp. 697-706
-
-
Blom, H.A.1
-
24
-
-
0026748143
-
Application of neural networks to water and wastewater treatment plant operation
-
Boger Z. Application of neural networks to water and wastewater treatment plant operation. ISA T. 1992, 31:25-33.
-
(1992)
ISA T.
, vol.31
, pp. 25-33
-
-
Boger, Z.1
-
25
-
-
0034749693
-
Improving the efficiency of a wastewater treatment plant by fuzzy control and neural networks
-
Bongards M. Improving the efficiency of a wastewater treatment plant by fuzzy control and neural networks. Water Sci. Technol. 2001, 43:189-196.
-
(2001)
Water Sci. Technol.
, vol.43
, pp. 189-196
-
-
Bongards, M.1
-
26
-
-
78149352373
-
Modelling of wastewater treatment plant for monitoring and control purposes by state - space wavelet networks
-
Borowa A., Brdys M.A., Mazur K. Modelling of wastewater treatment plant for monitoring and control purposes by state - space wavelet networks. Int. J. Comput. Commun. Control 2007, 2:121-131.
-
(2007)
Int. J. Comput. Commun. Control
, vol.2
, pp. 121-131
-
-
Borowa, A.1
Brdys, M.A.2
Mazur, K.3
-
27
-
-
84894884147
-
Prediction of activated sludge filamentous bulking using ATP data and neural networks
-
Brault J.M., Labib R., Perrier M., Stuart P. Prediction of activated sludge filamentous bulking using ATP data and neural networks. Can. J. Chem. Eng. 2010, 9999:1-13.
-
(2010)
Can. J. Chem. Eng.
, vol.9999
, pp. 1-13
-
-
Brault, J.M.1
Labib, R.2
Perrier, M.3
Stuart, P.4
-
28
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Mach. Learn. 1996, 24:123-140.
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
29
-
-
0030813663
-
PARAFAC: tutorial and applications
-
Bro R. PARAFAC: tutorial and applications. Chemometr. Intell. Lab. 1997, 38:149-171.
-
(1997)
Chemometr. Intell. Lab.
, vol.38
, pp. 149-171
-
-
Bro, R.1
-
30
-
-
78751528101
-
Aneural network approach for on-line fault detection of nitrogen sensors in alternated active sludge treatment plants
-
Caccavale F., Digiulio P., Iamarino M., Masi S., Pierri F. Aneural network approach for on-line fault detection of nitrogen sensors in alternated active sludge treatment plants. Water Sci. Technol. 2010, 62:2760-2768.
-
(2010)
Water Sci. Technol.
, vol.62
, pp. 2760-2768
-
-
Caccavale, F.1
Digiulio, P.2
Iamarino, M.3
Masi, S.4
Pierri, F.5
-
31
-
-
0026237454
-
Sludge bulking analysis and forecasting: application of system identification and artificial neural computing technologies
-
Capodaglio A.G., Jones H.V., Novotny V., Feng X. Sludge bulking analysis and forecasting: application of system identification and artificial neural computing technologies. Water Res. 1991, 25:1217-1224.
-
(1991)
Water Res.
, vol.25
, pp. 1217-1224
-
-
Capodaglio, A.G.1
Jones, H.V.2
Novotny, V.3
Feng, X.4
-
33
-
-
75149148129
-
Software sensors are a real alternative to true sensors
-
Cecil D., Kozlowska M. Software sensors are a real alternative to true sensors. Environ. Model. Softw. 2010, 25:622-625.
-
(2010)
Environ. Model. Softw.
, vol.25
, pp. 622-625
-
-
Cecil, D.1
Kozlowska, M.2
-
34
-
-
0034847598
-
Ahybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process
-
Choi D.J., Park H. Ahybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process. Water Res. 2001, 35:3959-3967.
-
(2001)
Water Res.
, vol.35
, pp. 3959-3967
-
-
Choi, D.J.1
Park, H.2
-
35
-
-
22544446792
-
New tool for evaluation of performance of wastewater treatment plant: artificial neural network
-
Çinar Ö. New tool for evaluation of performance of wastewater treatment plant: artificial neural network. Process. Biochem. 2005, 40:2980-2984.
-
(2005)
Process. Biochem.
, vol.40
, pp. 2980-2984
-
-
Çinar, Ö.1
-
36
-
-
33745941576
-
Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network
-
Çinar Ö., Hasar H., Kinari C. Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network. J.Biotech. 2006, 123:204-209.
-
(2006)
J.Biotech.
, vol.123
, pp. 204-209
-
-
Çinar, Ö.1
Hasar, H.2
Kinari, C.3
-
37
-
-
38049083865
-
Modeling carbon and nitrogen removal in an industrial wastewater treatment plant using an adaptive network-based fuzzy inference system
-
Civelekoglu G., Perendeci A., Yigit N.O., Kitis M. Modeling carbon and nitrogen removal in an industrial wastewater treatment plant using an adaptive network-based fuzzy inference system. Clean - Soil, Air, Water 2007, 35:617-625.
-
(2007)
Clean - Soil, Air, Water
, vol.35
, pp. 617-625
-
-
Civelekoglu, G.1
Perendeci, A.2
Yigit, N.O.3
Kitis, M.4
-
38
-
-
48849089672
-
Neural networks complemented with genetic algorithms and fuzzy systems for predicting nitrogenous effluent variables in wastewater treatment plants
-
Clara N. Neural networks complemented with genetic algorithms and fuzzy systems for predicting nitrogenous effluent variables in wastewater treatment plants. WSEAS Trans. Syst. 2008, 7:695-705.
-
(2008)
WSEAS Trans. Syst.
, vol.7
, pp. 695-705
-
-
Clara, N.1
-
39
-
-
0030811761
-
Application of computational intelligence for on-line control of a sequencing batch reactor (SBR) at Morrinsville sewage treatment plant
-
Cohen A., Janssen G., Brewster S.D., Seeley R., Boogert A.A., Graham A.A., Mardani M.R., Clarke N., Kasabov N.K. Application of computational intelligence for on-line control of a sequencing batch reactor (SBR) at Morrinsville sewage treatment plant. Water Sci. Technol. 1997, 35:63-71.
-
(1997)
Water Sci. Technol.
, vol.35
, pp. 63-71
-
-
Cohen, A.1
Janssen, G.2
Brewster, S.D.3
Seeley, R.4
Boogert, A.A.5
Graham, A.A.6
Mardani, M.R.7
Clarke, N.8
Kasabov, N.K.9
-
41
-
-
84894887218
-
Evaluation of fault-detection strategies performance in wastewater treatment processes
-
Corominas L., Villez K., Aguado D., Rosén C., Rieger L., Vanrolleghem P.A. Evaluation of fault-detection strategies performance in wastewater treatment processes. Proc. 10th IWA Conference on Instrumentation, Control and Automation, Cairns, Australia 2009.
-
(2009)
Proc. 10th IWA Conference on Instrumentation, Control and Automation, Cairns, Australia
-
-
Corominas, L.1
Villez, K.2
Aguado, D.3
Rosén, C.4
Rieger, L.5
Vanrolleghem, P.A.6
-
42
-
-
84872899419
-
Monitoring nitrate concentrations in the denitrifying post-filtration unit of a municipal wastewater treatment plant
-
Corona F., Mulas M., Haimi H., Sundell L., Heinonen M., Vahala R. Monitoring nitrate concentrations in the denitrifying post-filtration unit of a municipal wastewater treatment plant. J.Process. Contr. 2013, 23:158-170.
-
(2013)
J.Process. Contr.
, vol.23
, pp. 158-170
-
-
Corona, F.1
Mulas, M.2
Haimi, H.3
Sundell, L.4
Heinonen, M.5
Vahala, R.6
-
43
-
-
0028969090
-
Dynamic modelling of the activated sludge process: improving prediction using neural networks
-
Côté M., Grandjean B.P.A., Lessard P., Thibault J. Dynamic modelling of the activated sludge process: improving prediction using neural networks. Water Res. 1995, 29:995-1004.
-
(1995)
Water Res.
, vol.29
, pp. 995-1004
-
-
Côté, M.1
Grandjean, B.P.A.2
Lessard, P.3
Thibault, J.4
-
45
-
-
0343449995
-
Atheory for neural networks with time delays
-
Morgan Kaufmann Publishers Inc., San Mateo, R. Lippmann, J. Moody, D. Touretzky (Eds.)
-
de Vries B., Principe J. Atheory for neural networks with time delays. Advances in Neural Information Processing Systems 3 1991, 162-168. Morgan Kaufmann Publishers Inc., San Mateo. R. Lippmann, J. Moody, D. Touretzky (Eds.).
-
(1991)
Advances in Neural Information Processing Systems 3
, pp. 162-168
-
-
de Vries, B.1
Principe, J.2
-
46
-
-
49649118346
-
Predictive modeling for wastewater applications: linear and nonlinear approaches
-
Dellana S.A., West D. Predictive modeling for wastewater applications: linear and nonlinear approaches. Environ. Model. Softw. 2009, 24:96-106.
-
(2009)
Environ. Model. Softw.
, vol.24
, pp. 96-106
-
-
Dellana, S.A.1
West, D.2
-
47
-
-
77952889909
-
Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN)
-
Delnavaz M., Ayati B., Ganjidoust H. Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN). J.Hazard. Mater. 2010, 179:769-775.
-
(2010)
J.Hazard. Mater.
, vol.179
, pp. 769-775
-
-
Delnavaz, M.1
Ayati, B.2
Ganjidoust, H.3
-
49
-
-
41549123713
-
An open distributed architecture for sensor networks for risk management
-
Douglas J., Usländer T., Schimak G., Esteban J., Denzer R. An open distributed architecture for sensor networks for risk management. Sensors 2008, 8:1755-1773.
-
(2008)
Sensors
, vol.8
, pp. 1755-1773
-
-
Douglas, J.1
Usländer, T.2
Schimak, G.3
Esteban, J.4
Denzer, R.5
-
51
-
-
84855195778
-
Data-driven modeling approaches to support wastewater treatment plant operation
-
Dürrenmatt D., Gujer W. Data-driven modeling approaches to support wastewater treatment plant operation. Environ. Model. Softw. 2012, 30:47-56.
-
(2012)
Environ. Model. Softw.
, vol.30
, pp. 47-56
-
-
Dürrenmatt, D.1
Gujer, W.2
-
52
-
-
26444565569
-
Finding structure in time
-
Elman J. Finding structure in time. Cogn. Sci. 1990, 14:179-211.
-
(1990)
Cogn. Sci.
, vol.14
, pp. 179-211
-
-
Elman, J.1
-
54
-
-
60649120410
-
Use of neurofuzzy networks to improve wastewater flow-rate forecasting
-
Fernandez F.J., Seco A., Ferrer J., Rodrigo M.A. Use of neurofuzzy networks to improve wastewater flow-rate forecasting. Environ. Model. Softw. 2009, 24:686-693.
-
(2009)
Environ. Model. Softw.
, vol.24
, pp. 686-693
-
-
Fernandez, F.J.1
Seco, A.2
Ferrer, J.3
Rodrigo, M.A.4
-
55
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
Fisher R. The use of multiple measurements in taxonomic problems. Ann. Eugen. 1936, 7:179-188.
-
(1936)
Ann. Eugen.
, vol.7
, pp. 179-188
-
-
Fisher, R.1
-
57
-
-
0031211090
-
Adecision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y., Schapire R. Adecision-theoretic generalization of on-line learning and an application to boosting. J.Comput. Syst. Sci. 1997, 55:119-139.
-
(1997)
J.Comput. Syst. Sci.
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
58
-
-
0028952467
-
System identification and real-time pattern recognition by neural networks for an activated sludge process
-
Fu C., Poch M. System identification and real-time pattern recognition by neural networks for an activated sludge process. Environ. Int. 1995, 21:57-69.
-
(1995)
Environ. Int.
, vol.21
, pp. 57-69
-
-
Fu, C.1
Poch, M.2
-
59
-
-
0033204743
-
Neural networks applied to fault detection of a biotechnological process
-
Fuente M.J., Vega P. Neural networks applied to fault detection of a biotechnological process. Eng. Appl. Artif. Intell. 1999, 12:569-584.
-
(1999)
Eng. Appl. Artif. Intell.
, vol.12
, pp. 569-584
-
-
Fuente, M.J.1
Vega, P.2
-
60
-
-
68049143320
-
Soft-sensor development using correlation-based just-in-time modeling
-
Fujiwara K., Kano M., Hasebe S., Takinami A. Soft-sensor development using correlation-based just-in-time modeling. AIChE J. 2009, 55:1754-1765.
-
(2009)
AIChE J.
, vol.55
, pp. 1754-1765
-
-
Fujiwara, K.1
Kano, M.2
Hasebe, S.3
Takinami, A.4
-
62
-
-
2642578431
-
Activated sludge wastewater treatment plant modelling and simulation: state of the art
-
Gernaey K.V., van Loosdrecht M.C.M., Henze M., Lind M., JØrgensen S.B. Activated sludge wastewater treatment plant modelling and simulation: state of the art. Environ. Model. Softw. 2004, 19:763-783.
-
(2004)
Environ. Model. Softw.
, vol.19
, pp. 763-783
-
-
Gernaey, K.V.1
van Loosdrecht, M.C.M.2
Henze, M.3
Lind, M.4
Jørgensen, S.B.5
-
63
-
-
29144432300
-
End-point detection of the aerobic phase in a biological reactor using SOM and clustering algorithms
-
González I.M., López García H. End-point detection of the aerobic phase in a biological reactor using SOM and clustering algorithms. Eng. Appl. Artif. Intell. 2006, 19:19-28.
-
(2006)
Eng. Appl. Artif. Intell.
, vol.19
, pp. 19-28
-
-
González, I.M.1
López García, H.2
-
64
-
-
37249067172
-
New mathematical procedure for the automatic estimation of influent characteristics in WWTPs
-
Grau P., Beltrán S., de Gracia M., Ayesa E. New mathematical procedure for the automatic estimation of influent characteristics in WWTPs. Water Sci. Technol. 2007, 56:95-106.
-
(2007)
Water Sci. Technol.
, vol.56
, pp. 95-106
-
-
Grau, P.1
Beltrán, S.2
de Gracia, M.3
Ayesa, E.4
-
65
-
-
29144439121
-
KSOM and MLP neural networks for on-line estimating the efficiency of an activated sludge process
-
Grieu S., Thiery F., Traoré A., Nguyen T.P., Barreau M., Polit M. KSOM and MLP neural networks for on-line estimating the efficiency of an activated sludge process. Chem. Eng. J. 2006, 116:1-11.
-
(2006)
Chem. Eng. J.
, vol.116
, pp. 1-11
-
-
Grieu, S.1
Thiery, F.2
Traoré, A.3
Nguyen, T.P.4
Barreau, M.5
Polit, M.6
-
67
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I., Elisseeff A. An introduction to variable and feature selection. J.Mach. Learn. Res. 2003, 3:1157-1182.
-
(2003)
J.Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
68
-
-
0029900210
-
Estimation of wastewater process parameters using neural networks
-
Häck M., Köhne M. Estimation of wastewater process parameters using neural networks. Water Sci. Technol. 1996, 33:101-115.
-
(1996)
Water Sci. Technol.
, vol.33
, pp. 101-115
-
-
Häck, M.1
Köhne, M.2
-
69
-
-
3342965223
-
Prediction of wastewater treatment plant performance using artificial neural networks
-
Hamed M.M., Khalafallah M.G., Hassanien E.A. Prediction of wastewater treatment plant performance using artificial neural networks. Environ. Model. Softw. 2004, 19:919-928.
-
(2004)
Environ. Model. Softw.
, vol.19
, pp. 919-928
-
-
Hamed, M.M.1
Khalafallah, M.G.2
Hassanien, E.A.3
-
70
-
-
0032727764
-
Integrated wastewater treatment plant performance evaluation using artificial neural networks
-
Hamoda M.F., Al-Ghusain I.A., Hassan A.H. Integrated wastewater treatment plant performance evaluation using artificial neural networks. Water Sci. Technol. 1999, 40:55-65.
-
(1999)
Water Sci. Technol.
, vol.40
, pp. 55-65
-
-
Hamoda, M.F.1
Al-Ghusain, I.A.2
Hassan, A.H.3
-
71
-
-
34447309364
-
Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks
-
Hanbay D., Turkoglu I., Demir Y. Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks. Clean - Soil, Air, Water 2007, 35:250-254.
-
(2007)
Clean - Soil, Air, Water
, vol.35
, pp. 250-254
-
-
Hanbay, D.1
Turkoglu, I.2
Demir, Y.3
-
72
-
-
0001138328
-
Ak-means clustering algorithm
-
Hartigan J., Wong M. Ak-means clustering algorithm. Appl. Stat. 1979, 28:100-108.
-
(1979)
Appl. Stat.
, vol.28
, pp. 100-108
-
-
Hartigan, J.1
Wong, M.2
-
73
-
-
0003684449
-
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
Springer
-
Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics 2009, Springer. second ed.
-
(2009)
Springer Series in Statistics
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
74
-
-
73349133386
-
Activated sludge modelling in practice: an international survey
-
Hauduc H., Gillot S., Rieger L., Ohtsuki T., Shaw A., Takács I., Winkler S. Activated sludge modelling in practice: an international survey. Water Sci. Technol. 2009, 60:1943-1951.
-
(2009)
Water Sci. Technol.
, vol.60
, pp. 1943-1951
-
-
Hauduc, H.1
Gillot, S.2
Rieger, L.3
Ohtsuki, T.4
Shaw, A.5
Takács, I.6
Winkler, S.7
-
75
-
-
79958713393
-
Activated sludge modelling: development and potential use of a practical applications database
-
Hauduc H., Rieger L., Ohtsuki T., Shaw A., Takács I., Winkler S., Héduit A., Vanrolleghem P.A., Gillot S. Activated sludge modelling: development and potential use of a practical applications database. Water Sci. Technol. 2011, 63:2164-2182.
-
(2011)
Water Sci. Technol.
, vol.63
, pp. 2164-2182
-
-
Hauduc, H.1
Rieger, L.2
Ohtsuki, T.3
Shaw, A.4
Takács, I.5
Winkler, S.6
Héduit, A.7
Vanrolleghem, P.A.8
Gillot, S.9
-
77
-
-
82455198610
-
Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process
-
Heikkinen M., Poutiainen H., Liukkonen M., Heikkinen T., Hiltunen Y. Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process. Math. Comput. Simulat. 2011, 82:450-459.
-
(2011)
Math. Comput. Simulat.
, vol.82
, pp. 450-459
-
-
Heikkinen, M.1
Poutiainen, H.2
Liukkonen, M.3
Heikkinen, T.4
Hiltunen, Y.5
-
78
-
-
0004081893
-
-
Scientific and Technical Reports, No. 9, IWA Publishing
-
Henze M., Gujer W., Mino T., van Loosedrecht M. Activated Sludge Models ASM1, ASM2, ASM2d and ASM3 2000, Scientific and Technical Reports, No. 9, IWA Publishing.
-
(2000)
Activated Sludge Models ASM1, ASM2, ASM2d and ASM3
-
-
Henze, M.1
Gujer, W.2
Mino, T.3
van Loosedrecht, M.4
-
79
-
-
77954860904
-
Anomaly detection in streaming environmental data: a data-driven modeling approach
-
Hill D., Minsker B. Anomaly detection in streaming environmental data: a data-driven modeling approach. Environ. Model. Softw. 2010, 25:1014-1022.
-
(2010)
Environ. Model. Softw.
, vol.25
, pp. 1014-1022
-
-
Hill, D.1
Minsker, B.2
-
80
-
-
79551660724
-
Real-time Bayesian anomaly detection in streaming environmental data
-
Hill D., Minsker B., Amir E. Real-time Bayesian anomaly detection in streaming environmental data. Water Resour. Res. 2009, 45. 10.1029/2008WR006956.
-
(2009)
Water Resour. Res.
, vol.45
-
-
Hill, D.1
Minsker, B.2
Amir, E.3
-
81
-
-
0037399368
-
Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis
-
Hong Y.S.T., Rosen M.R., Bhamidimarri R. Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis. Water Res. 2003, 37:1608-1618.
-
(2003)
Water Res.
, vol.37
, pp. 1608-1618
-
-
Hong, Y.S.T.1
Rosen, M.R.2
Bhamidimarri, R.3
-
82
-
-
34249743593
-
Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks
-
Hong S.H., Lee M.W., Lee D.S., Park J.M. Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks. Biochem. Eng. J. 2007, 35:365-370.
-
(2007)
Biochem. Eng. J.
, vol.35
, pp. 365-370
-
-
Hong, S.H.1
Lee, M.W.2
Lee, D.S.3
Park, J.M.4
-
83
-
-
0000107975
-
Relations between two sets of variants
-
Hotelling H. Relations between two sets of variants. Biometrika 1936, 28:321-377.
-
(1936)
Biometrika
, vol.28
, pp. 321-377
-
-
Hotelling, H.1
-
84
-
-
77958175011
-
Afast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process
-
Huang M.Z., Wan J.Q., Ma Y.W., Li W.J., Sun X.F., Wan Y. Afast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process. Bioresour. Technol. 2010, 101:1642-1651.
-
(2010)
Bioresour. Technol.
, vol.101
, pp. 1642-1651
-
-
Huang, M.Z.1
Wan, J.Q.2
Ma, Y.W.3
Li, W.J.4
Sun, X.F.5
Wan, Y.6
-
86
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE T. Syst. Man. Cy 1993, 23:665-685.
-
(1993)
IEEE T. Syst. Man. Cy
, vol.23
, pp. 665-685
-
-
Jang, J.S.R.1
-
87
-
-
33644630452
-
Towards a benchmark simulation model for plantwide control strategy performance evaluation of WWTPs
-
Jeppsson U., Rosen C., Alex J., Copp J., Gerneay K.V., Pons M.N., Vanrolleghem P.A. Towards a benchmark simulation model for plantwide control strategy performance evaluation of WWTPs. Water Sci. Technol. 2006, 53:287-295.
-
(2006)
Water Sci. Technol.
, vol.53
, pp. 287-295
-
-
Jeppsson, U.1
Rosen, C.2
Alex, J.3
Copp, J.4
Gerneay, K.V.5
Pons, M.N.6
Vanrolleghem, P.A.7
-
89
-
-
79551647814
-
-
Ph.D. thesis, Bournemouth University, School of Design, Engineering & Computing, Bournemouth, UK
-
Kadlec P. On Robust and Adaptive Soft Sensors 2009, Ph.D. thesis, Bournemouth University, School of Design, Engineering & Computing, Bournemouth, UK.
-
(2009)
On Robust and Adaptive Soft Sensors
-
-
Kadlec, P.1
-
91
-
-
67349089877
-
Data-driven soft sensors in the process industry
-
Kadlec P., Gabrys B., Strandt S. Data-driven soft sensors in the process industry. Comput. Chem. Eng. 2009, 33:795-814.
-
(2009)
Comput. Chem. Eng.
, vol.33
, pp. 795-814
-
-
Kadlec, P.1
Gabrys, B.2
Strandt, S.3
-
92
-
-
78649468188
-
Review of adaptation mechanisms for data-driven soft sensors
-
Kadlec P., Gabrys B., Grbić R. Review of adaptation mechanisms for data-driven soft sensors. Comput. Chem. Eng. 2011, 35:1-24.
-
(2011)
Comput. Chem. Eng.
, vol.35
, pp. 1-24
-
-
Kadlec, P.1
Gabrys, B.2
Grbić, R.3
-
94
-
-
80051703942
-
Modeling of biological water and wastewater treatment processes using artificial neural networks
-
Khataee A.R., Kasiri M.B. Modeling of biological water and wastewater treatment processes using artificial neural networks. Clean - Soil, Air, Water 2011, 39:742-749.
-
(2011)
Clean - Soil, Air, Water
, vol.39
, pp. 742-749
-
-
Khataee, A.R.1
Kasiri, M.B.2
-
95
-
-
69749089289
-
Asystematic approach to data-driven modeling and soft sensing in a full-scale plant
-
Kim M.H., Kim Y.S., Prabu A.A., Yoo C.K. Asystematic approach to data-driven modeling and soft sensing in a full-scale plant. Water Sci. Technol. 2009, 60:363-370.
-
(2009)
Water Sci. Technol.
, vol.60
, pp. 363-370
-
-
Kim, M.H.1
Kim, Y.S.2
Prabu, A.A.3
Yoo, C.K.4
-
96
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R., John G. Wrappers for feature subset selection. Artif. Intell. 1997, 97:273-324.
-
(1997)
Artif. Intell.
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
101
-
-
0037142398
-
Hybrid neural network modeling of a full-scale industrial wastewater treatment process
-
Lee D.S., Jeon C.O., Park J.M., Chang K.S. Hybrid neural network modeling of a full-scale industrial wastewater treatment process. Biotechnol. Bioeng. 2002, 78:670-682.
-
(2002)
Biotechnol. Bioeng.
, vol.78
, pp. 670-682
-
-
Lee, D.S.1
Jeon, C.O.2
Park, J.M.3
Chang, K.S.4
-
102
-
-
1142309573
-
Sensor fault identification based on time-lagged PCA in dynamic processes
-
Lee C., Choi S.W., Lee I.B. Sensor fault identification based on time-lagged PCA in dynamic processes. Chemometr. Intell. Lab. 2004, 70:165-178.
-
(2004)
Chemometr. Intell. Lab.
, vol.70
, pp. 165-178
-
-
Lee, C.1
Choi, S.W.2
Lee, I.B.3
-
103
-
-
18944372441
-
Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant
-
Lee D.S., Vanrolleghem P.A., Park J.M. Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant. J.Biotechnol. 2005, 115:317-328.
-
(2005)
J.Biotechnol.
, vol.115
, pp. 317-328
-
-
Lee, D.S.1
Vanrolleghem, P.A.2
Park, J.M.3
-
104
-
-
33644619997
-
Sensor fault diagnosis in a wastewater treatment process
-
Lee C., Choi S.W., Lee I.B. Sensor fault diagnosis in a wastewater treatment process. Water Sci. Technol. 2006, 53:251-257.
-
(2006)
Water Sci. Technol.
, vol.53
, pp. 251-257
-
-
Lee, C.1
Choi, S.W.2
Lee, I.B.3
-
105
-
-
33847335454
-
Robust adaptive partial least squares modeling of a full-scale industrial wastewater treatment process
-
Lee H.W., Lee M.W., Park J.M. Robust adaptive partial least squares modeling of a full-scale industrial wastewater treatment process. Ind. Eng. Chem. Res. 2007, 46:955-964.
-
(2007)
Ind. Eng. Chem. Res.
, vol.46
, pp. 955-964
-
-
Lee, H.W.1
Lee, M.W.2
Park, J.M.3
-
106
-
-
50449095583
-
Real-time remote monitoring of small-scaled biological wastewater treatment plants by a multivariate statistical process control and neural network-based software sensors
-
Lee M.W., Hong S.H., Choi H., Kim J.H., Lee D.S., Park J.M. Real-time remote monitoring of small-scaled biological wastewater treatment plants by a multivariate statistical process control and neural network-based software sensors. Process. Biochem. 2008, 43:1107-1113.
-
(2008)
Process. Biochem.
, vol.43
, pp. 1107-1113
-
-
Lee, M.W.1
Hong, S.H.2
Choi, H.3
Kim, J.H.4
Lee, D.S.5
Park, J.M.6
-
107
-
-
69349084795
-
Multi-scale extension of PLS algorithm for advanced on-line process monitoring
-
Lee H.W., Lee M.W., Park J.M. Multi-scale extension of PLS algorithm for advanced on-line process monitoring. Chemometr. Intell. Lab. 2009, 98:201-212.
-
(2009)
Chemometr. Intell. Lab.
, vol.98
, pp. 201-212
-
-
Lee, H.W.1
Lee, M.W.2
Park, J.M.3
-
108
-
-
84894897067
-
Performance prediction of the full-scale biological nutrient removal process using an artificial neural network
-
Lee J.W., Hong Y.S.T., Suh C.W., Shin H.S. Performance prediction of the full-scale biological nutrient removal process using an artificial neural network. Proc. of Watermatex 2011, 8th IWA Symposium on Systems Analysis and Integrated Assessment, San Sebastián, Spain 2011.
-
(2011)
Proc. of Watermatex 2011, 8th IWA Symposium on Systems Analysis and Integrated Assessment, San Sebastián, Spain
-
-
Lee, J.W.1
Hong, Y.S.T.2
Suh, C.W.3
Shin, H.S.4
-
109
-
-
0036209691
-
Adaptive multiscale principal components analysis for online monitoring of wastewater treatment
-
Lennox J., Rosen C. Adaptive multiscale principal components analysis for online monitoring of wastewater treatment. Water Sci. Technol. 2002, 45:227-235.
-
(2002)
Water Sci. Technol.
, vol.45
, pp. 227-235
-
-
Lennox, J.1
Rosen, C.2
-
110
-
-
69249213982
-
Residual variance estimation in machine learning
-
Liitiäinen E., Verleysen M., Corona F., Lendasse A. Residual variance estimation in machine learning. Neurocomputing 2009, 72:3692-3703.
-
(2009)
Neurocomputing
, vol.72
, pp. 3692-3703
-
-
Liitiäinen, E.1
Verleysen, M.2
Corona, F.3
Lendasse, A.4
-
112
-
-
0036201619
-
Soft sensors for control of nitrogen and phosphorus removal from wastewaters by neural networks
-
Luccarini L., Porra E., Spagni A., Ratini P., Grilli S., Longhi S., Bortone G. Soft sensors for control of nitrogen and phosphorus removal from wastewaters by neural networks. Water Sci. Technol. 2002, 45:101-107.
-
(2002)
Water Sci. Technol.
, vol.45
, pp. 101-107
-
-
Luccarini, L.1
Porra, E.2
Spagni, A.3
Ratini, P.4
Grilli, S.5
Longhi, S.6
Bortone, G.7
-
113
-
-
0036210497
-
On-line instrument confirmation: how can we check that our instruments are working?
-
Lumley D. On-line instrument confirmation: how can we check that our instruments are working?. Water Sci. Technol. 2002, 53:469-476.
-
(2002)
Water Sci. Technol.
, vol.53
, pp. 469-476
-
-
Lumley, D.1
-
114
-
-
34147180009
-
Simulation of a coke wastewater nitrification process using a feed-forward neuronal net
-
Machón I., López H., Rodríguez-Iglesias J., Maranón E., Vázquez I. Simulation of a coke wastewater nitrification process using a feed-forward neuronal net. Environ. Model. Softw. 2007, 22:1382-1387.
-
(2007)
Environ. Model. Softw.
, vol.22
, pp. 1382-1387
-
-
Machón, I.1
López, H.2
Rodríguez-Iglesias, J.3
Maranón, E.4
Vázquez, I.5
-
115
-
-
0025522027
-
Adaptive estimation of bioactivities in the activated sludge process
-
Marsili-Libelli S. Adaptive estimation of bioactivities in the activated sludge process. IEE Proc-D 1990, 137:349-356.
-
(1990)
IEE Proc-D
, vol.137
, pp. 349-356
-
-
Marsili-Libelli, S.1
-
116
-
-
33344458202
-
Control of SBR switching by fuzzy pattern recognitions
-
Marsili-Libelli S. Control of SBR switching by fuzzy pattern recognitions. Water Res. 2006, 40:1095-1107.
-
(2006)
Water Res.
, vol.40
, pp. 1095-1107
-
-
Marsili-Libelli, S.1
-
117
-
-
0030131491
-
Adaptive fuzzy pattern recognition in the anaerobic digestion process
-
Marsili-Libelli S., Müller A. Adaptive fuzzy pattern recognition in the anaerobic digestion process. Pattern Recogn. Lett. 1996, 17:651-659.
-
(1996)
Pattern Recogn. Lett.
, vol.17
, pp. 651-659
-
-
Marsili-Libelli, S.1
Müller, A.2
-
118
-
-
0033578423
-
Software sensor design based on empirical data
-
Masson M., Canu S., Grandvalet Y., Lynggaard-Jensen A. Software sensor design based on empirical data. Ecol. Model. 1999, 120:131-139.
-
(1999)
Ecol. Model.
, vol.120
, pp. 131-139
-
-
Masson, M.1
Canu, S.2
Grandvalet, Y.3
Lynggaard-Jensen, A.4
-
119
-
-
4444352202
-
Multivariate monitoring of a biological wastewater treatment process: a case study at Melbourne water's western treatment plant
-
Miettinen T., Hurse T.J., Connor M.A., Reinikainen S.P., Minkkinen Multivariate monitoring of a biological wastewater treatment process: a case study at Melbourne water's western treatment plant. Chemometr. Intell. Lab. 2004, 73:131-138.
-
(2004)
Chemometr. Intell. Lab.
, vol.73
, pp. 131-138
-
-
Miettinen, T.1
Hurse, T.J.2
Connor, M.A.3
Reinikainen, S.P.4
Minkkinen5
-
120
-
-
33846897687
-
Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance
-
Mjalli F.S., Al-Asheh S., Alfadala H.E. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. J.Environ. Manage. 2007, 83:329-338.
-
(2007)
J.Environ. Manage.
, vol.83
, pp. 329-338
-
-
Mjalli, F.S.1
Al-Asheh, S.2
Alfadala, H.E.3
-
121
-
-
0003475268
-
-
volume EPA-600/2-76-198 of Environmental Protection Technology, U.S. Environmental Protection Agency, Office of Research and Development, Municipal Environmental Research Laboratory
-
Molvar A.E., Roesler J.F., Babcock R.H. Instrumentation and Automation Experiences in Wastewater-treatment Facilities 1976, volume EPA-600/2-76-198 of Environmental Protection Technology, U.S. Environmental Protection Agency, Office of Research and Development, Municipal Environmental Research Laboratory.
-
(1976)
Instrumentation and Automation Experiences in Wastewater-treatment Facilities
-
-
Molvar, A.E.1
Roesler, J.F.2
Babcock, R.H.3
-
122
-
-
56249119537
-
Identification of process operating state with operational map in municipal wastewater treatment plant
-
Moon T.S., Kim Y.J., Kim J.R., Cha J.H., Kim D.H., Kim C.W. Identification of process operating state with operational map in municipal wastewater treatment plant. J.Environ. Manage. 2009, 90:772-778.
-
(2009)
J.Environ. Manage.
, vol.90
, pp. 772-778
-
-
Moon, T.S.1
Kim, Y.J.2
Kim, J.R.3
Cha, J.H.4
Kim, D.H.5
Kim, C.W.6
-
123
-
-
47849094032
-
Modeling of the activated sludge process by using artificial neural networks with automated architecture screening
-
Moral H., Aksoy A., Gokcay C.F. Modeling of the activated sludge process by using artificial neural networks with automated architecture screening. Comput. Chem. Eng. 2008, 32:2471-2478.
-
(2008)
Comput. Chem. Eng.
, vol.32
, pp. 2471-2478
-
-
Moral, H.1
Aksoy, A.2
Gokcay, C.F.3
-
124
-
-
84879293688
-
-
Ph.D. thesis, Lappeenranta University of Technology, Department of Chemical Technology, Lappeenranta, Finland
-
Mujunen S.P. Multivariate Monitoring of Wastewater Treatment Processes in Pulp and Paper Industry 1999, Ph.D. thesis, Lappeenranta University of Technology, Department of Chemical Technology, Lappeenranta, Finland.
-
(1999)
Multivariate Monitoring of Wastewater Treatment Processes in Pulp and Paper Industry
-
-
Mujunen, S.P.1
-
125
-
-
0032490622
-
Modeling of activated sludge plants treatment efficiency with PLSR: a process analytical case study
-
Mujunen S.P., Minkkinen P., Teppola P., Wirkkala R.S. Modeling of activated sludge plants treatment efficiency with PLSR: a process analytical case study. Chemometr. Intell. Lab. 1998, 41:83-94.
-
(1998)
Chemometr. Intell. Lab.
, vol.41
, pp. 83-94
-
-
Mujunen, S.P.1
Minkkinen, P.2
Teppola, P.3
Wirkkala, R.S.4
-
127
-
-
84857109831
-
ICA and me - a subjective review
-
Olsson G. ICA and me - a subjective review. Water Res. 2012, 46:1585-1626.
-
(2012)
Water Res.
, vol.46
, pp. 1585-1626
-
-
Olsson, G.1
-
128
-
-
0041622872
-
Application of information technology to decision support in treatment plant operation
-
Olsson G., Newell B., Rosen C., Ingildsen P. Application of information technology to decision support in treatment plant operation. Water Sci. Technol. 2003, 47:35-42.
-
(2003)
Water Sci. Technol.
, vol.47
, pp. 35-42
-
-
Olsson, G.1
Newell, B.2
Rosen, C.3
Ingildsen, P.4
-
129
-
-
33646755519
-
-
Scientific and Technical Reports, No. 15, IWA Publishing
-
Olsson G., Nielsen M., Yuan Z., Lynggaard-Jensen A., Steyer J.P. Instrumentation, Control and Automation in Wastewater Systems 2005, Scientific and Technical Reports, No. 15, IWA Publishing.
-
(2005)
Instrumentation, Control and Automation in Wastewater Systems
-
-
Olsson, G.1
Nielsen, M.2
Yuan, Z.3
Lynggaard-Jensen, A.4
Steyer, J.P.5
-
130
-
-
34447509444
-
Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent
-
Pai T.Y., Tsai Y.P., Lo H.M., Tsai C.H., Lin C.Y. Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent. Comput. Chem. Eng. 2007, 31:1272-1281.
-
(2007)
Comput. Chem. Eng.
, vol.31
, pp. 1272-1281
-
-
Pai, T.Y.1
Tsai, Y.P.2
Lo, H.M.3
Tsai, C.H.4
Lin, C.Y.5
-
131
-
-
53649106857
-
Comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and online monitoring parameters
-
Pai T.Y., Chuang S.H., Wan T.J., Lo H.M., Tsai Y.P., Su H.C., Yu L.F., Hu H.C., Sung P.J. Comparisons of grey and neural network prediction of industrial park wastewater effluent using influent quality and online monitoring parameters. Environ. Monit. Assess. 2008, 146:51-66.
-
(2008)
Environ. Monit. Assess.
, vol.146
, pp. 51-66
-
-
Pai, T.Y.1
Chuang, S.H.2
Wan, T.J.3
Lo, H.M.4
Tsai, Y.P.5
Su, H.C.6
Yu, L.F.7
Hu, H.C.8
Sung, P.J.9
-
132
-
-
79955092678
-
Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality
-
Pai T.Y., Yang P.Y., Wang S.C., Lo M.H., Chiang C.F., Kuo J.L., Chu H.H., Su H.C., Yu L.F., Hu H.C., Chang Y.H. Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality. Appl. Math. Model. 2011, 35:3674-3684.
-
(2011)
Appl. Math. Model.
, vol.35
, pp. 3674-3684
-
-
Pai, T.Y.1
Yang, P.Y.2
Wang, S.C.3
Lo, M.H.4
Chiang, C.F.5
Kuo, J.L.6
Chu, H.H.7
Su, H.C.8
Yu, L.F.9
Hu, H.C.10
Chang, Y.H.11
-
133
-
-
2342431622
-
Calibration of activated sludge models: a critical review of experimental designs
-
Kluwer Academic Publishers, S.N. Agathos, W. Reineke (Eds.)
-
Petersen B., Gernaey K., Henze M., Vanrolleghem P.A. Calibration of activated sludge models: a critical review of experimental designs. Biotechnology for the Environment: Wastewater Treatment and Modeling, Waste Gas Handling 2003, Kluwer Academic Publishers. S.N. Agathos, W. Reineke (Eds.).
-
(2003)
Biotechnology for the Environment: Wastewater Treatment and Modeling, Waste Gas Handling
-
-
Petersen, B.1
Gernaey, K.2
Henze, M.3
Vanrolleghem, P.A.4
-
134
-
-
62949135463
-
Wastewater treatment modelling in practice: a collaborative discussion of the state of the art
-
Phillips H.M., Sahlstedt K.E., Frank K., Bratby J., Brennan W., Rogowski S., Pier D., Anderson W., Mulas M., Copp J.B., Shirodkar N. Wastewater treatment modelling in practice: a collaborative discussion of the state of the art. Water Sci. Technol. 2009, 59:695-704.
-
(2009)
Water Sci. Technol.
, vol.59
, pp. 695-704
-
-
Phillips, H.M.1
Sahlstedt, K.E.2
Frank, K.3
Bratby, J.4
Brennan, W.5
Rogowski, S.6
Pier, D.7
Anderson, W.8
Mulas, M.9
Copp, J.B.10
Shirodkar, N.11
-
135
-
-
4444375164
-
Treatment of pulp and paper mill wastewater - a review
-
Pokhrel D., Viraraghavan T. Treatment of pulp and paper mill wastewater - a review. Sci. Total Environ. 2004, 333:37-58.
-
(2004)
Sci. Total Environ.
, vol.333
, pp. 37-58
-
-
Pokhrel, D.1
Viraraghavan, T.2
-
136
-
-
78349293443
-
Use of sewer on-line total solids data in wastewater treatment plant modelling
-
Poutiainen H., Niska H., Heinonen-Tanski H., Kolehmainen M. Use of sewer on-line total solids data in wastewater treatment plant modelling. Water Sci. Technol. 2010, 62:743-750.
-
(2010)
Water Sci. Technol.
, vol.62
, pp. 743-750
-
-
Poutiainen, H.1
Niska, H.2
Heinonen-Tanski, H.3
Kolehmainen, M.4
-
137
-
-
0003147964
-
Use of artificial neural networks: predicting trickling filter performance in a municipal wastewater treatment plant
-
Pu H.C., Hung Y.T. Use of artificial neural networks: predicting trickling filter performance in a municipal wastewater treatment plant. Environ. Manage. Health 1995, 6:16-27.
-
(1995)
Environ. Manage. Health
, vol.6
, pp. 16-27
-
-
Pu, H.C.1
Hung, Y.T.2
-
138
-
-
19844364728
-
Development and implementation of a real-time control system for nitrogen removal using OUR and ORP as end points
-
Puig S., Corominas L., Vives M., Balaguer M., Colprim J., Colomer J. Development and implementation of a real-time control system for nitrogen removal using OUR and ORP as end points. Ind. Eng. Chem. Res. 2005, 44:3367-3373.
-
(2005)
Ind. Eng. Chem. Res.
, vol.44
, pp. 3367-3373
-
-
Puig, S.1
Corominas, L.2
Vives, M.3
Balaguer, M.4
Colprim, J.5
Colomer, J.6
-
139
-
-
84879317467
-
The chemical oxygen demand modelling based on a dynamic structure neural network
-
InTech, F.S.G. Einschlag (Ed.)
-
Qiao J., Chen Q., Han H. The chemical oxygen demand modelling based on a dynamic structure neural network. Waste Water - Evaluation and Management 2011, InTech. F.S.G. Einschlag (Ed.).
-
(2011)
Waste Water - Evaluation and Management
-
-
Qiao, J.1
Chen, Q.2
Han, H.3
-
140
-
-
0026853320
-
Nonlinear PLS modeling using neural networks
-
Qin S., McAvoy T. Nonlinear PLS modeling using neural networks. Comput. Chem. Eng. 1992, 16:379-391.
-
(1992)
Comput. Chem. Eng.
, vol.16
, pp. 379-391
-
-
Qin, S.1
McAvoy, T.2
-
141
-
-
33947712235
-
Artificial neural networks for rapid WWTP performance evaluation: methodology and case study
-
Ráduly B., Gernaey K.V., Capodaglio A.G., Mikkelsen P.S., Henze M. Artificial neural networks for rapid WWTP performance evaluation: methodology and case study. Environ. Model. Softw. 2007, 22:1208-1216.
-
(2007)
Environ. Model. Softw.
, vol.22
, pp. 1208-1216
-
-
Ráduly, B.1
Gernaey, K.V.2
Capodaglio, A.G.3
Mikkelsen, P.S.4
Henze, M.5
-
142
-
-
77953151580
-
Data reconciliation for wastewater treatment plant simulation studies - planning for high-quality data and typical sources of errors
-
Rieger L., Takács I., Villez K., Siegrist H., Lessard P., Vanrolleghem P.A., Comeau Y. Data reconciliation for wastewater treatment plant simulation studies - planning for high-quality data and typical sources of errors. Water Environ. Res. 2010, 82:426-433.
-
(2010)
Water Environ. Res.
, vol.82
, pp. 426-433
-
-
Rieger, L.1
Takács, I.2
Villez, K.3
Siegrist, H.4
Lessard, P.5
Vanrolleghem, P.A.6
Comeau, Y.7
-
143
-
-
84877699481
-
-
Scientific and Technical Reports, No. 22, IWA Publishing
-
Rieger L., Gillot S., Langergraber G., Ohtsuki T., Shaw A., Takacs I., Winkler S. Guidelines for Using Activated Sludge Models 2012, Scientific and Technical Reports, No. 22, IWA Publishing.
-
(2012)
Guidelines for Using Activated Sludge Models
-
-
Rieger, L.1
Gillot, S.2
Langergraber, G.3
Ohtsuki, T.4
Shaw, A.5
Takacs, I.6
Winkler, S.7
-
144
-
-
15844418455
-
Identifying outliers in correlated water quality data
-
Robinson R.B., Cox C.D., Odom K. Identifying outliers in correlated water quality data. J.Environ. Eng. 2005, 131:651-657.
-
(2005)
J.Environ. Eng.
, vol.131
, pp. 651-657
-
-
Robinson, R.B.1
Cox, C.D.2
Odom, K.3
-
145
-
-
0003880649
-
-
Ph.D. thesis, Lund University of Technology, Department of Industrial Electrical Engineering and Automation, Lund, Sweden
-
Rosen C. AChemometric Approach to Process Monitoring and Control - with Applications to Wastewater Treatment Operation 2001, Ph.D. thesis, Lund University of Technology, Department of Industrial Electrical Engineering and Automation, Lund, Sweden.
-
(2001)
AChemometric Approach to Process Monitoring and Control - with Applications to Wastewater Treatment Operation
-
-
Rosen, C.1
-
146
-
-
0034908862
-
Multivariate and multiscale monitoring of wastewater treatment operation
-
Rosen C., Lennox J.A. Multivariate and multiscale monitoring of wastewater treatment operation. Water Res. 2001, 35:3402-3410.
-
(2001)
Water Res.
, vol.35
, pp. 3402-3410
-
-
Rosen, C.1
Lennox, J.A.2
-
147
-
-
0031757693
-
Disturbance detection in wastewater treatment plants
-
Rosen C., Olsson G. Disturbance detection in wastewater treatment plants. Water Sci. Technol. 1998, 37:197-205.
-
(1998)
Water Sci. Technol.
, vol.37
, pp. 197-205
-
-
Rosen, C.1
Olsson, G.2
-
148
-
-
0035013208
-
Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering
-
Rosen C., Yuan Z. Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering. Water Sci. Technol. 2001, 43:147-156.
-
(2001)
Water Sci. Technol.
, vol.43
, pp. 147-156
-
-
Rosen, C.1
Yuan, Z.2
-
149
-
-
0036204225
-
Aframework for extreme-event control in wastewater treatment
-
Rosen C., Larsson M., Jeppsson U., Yuan Z. Aframework for extreme-event control in wastewater treatment. Water Sci. Technol. 2002, 45:299-308.
-
(2002)
Water Sci. Technol.
, vol.45
, pp. 299-308
-
-
Rosen, C.1
Larsson, M.2
Jeppsson, U.3
Yuan, Z.4
-
150
-
-
0242418167
-
Multivariate on-line monitoring: challenges and solutions for modern wastewater treatment operation
-
Rosen C., Röttorp J., Jeppsson U. Multivariate on-line monitoring: challenges and solutions for modern wastewater treatment operation. Water Sci. Technol. 2003, 47:171-179.
-
(2003)
Water Sci. Technol.
, vol.47
, pp. 171-179
-
-
Rosen, C.1
Röttorp, J.2
Jeppsson, U.3
-
151
-
-
12344271339
-
Towards a common benchmark for long-term process control and monitoring performance evaluation
-
Rosen C., Jeppsson U., Vanrolleghem P.A. Towards a common benchmark for long-term process control and monitoring performance evaluation. Water Sci. Technol. 2004, 50:41-49.
-
(2004)
Water Sci. Technol.
, vol.50
, pp. 41-49
-
-
Rosen, C.1
Jeppsson, U.2
Vanrolleghem, P.A.3
-
152
-
-
0038259120
-
Kernel partial least squares regression in reproducing kernel hilbert space
-
Rosipal R., Trejo L.J. Kernel partial least squares regression in reproducing kernel hilbert space. J.Mach. Learn. Res. 2001, 2:97-123.
-
(2001)
J.Mach. Learn. Res.
, vol.2
, pp. 97-123
-
-
Rosipal, R.1
Trejo, L.J.2
-
154
-
-
79961156521
-
Influence of scaling and unfolding in PCA based monitoring of nutrient removing batch process
-
Ruiz M., Villez K., Sin G., Colomer J., Vanrrolleghem P. Influence of scaling and unfolding in PCA based monitoring of nutrient removing batch process. Proc. of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Beijing, China 2006, 114-119.
-
(2006)
Proc. of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Beijing, China
, pp. 114-119
-
-
Ruiz, M.1
Villez, K.2
Sin, G.3
Colomer, J.4
Vanrrolleghem, P.5
-
155
-
-
84879283188
-
-
Ph.D. thesis, Heriot-Watt University, School of the Built Environment, Edinburgh, Scotland
-
Rustum R. Modelling Activated Sludge Wastewater Treatment Plants Using Artificial Intelligence Techniques (Fuzzy Logic and Neural Networks) 2009, Ph.D. thesis, Heriot-Watt University, School of the Built Environment, Edinburgh, Scotland.
-
(2009)
Modelling Activated Sludge Wastewater Treatment Plants Using Artificial Intelligence Techniques (Fuzzy Logic and Neural Networks)
-
-
Rustum, R.1
-
156
-
-
34547875061
-
Replacing outliers and missing values from activated sludge data using Kohonen self-organizing map
-
Rustum R., Adeloye A.J. Replacing outliers and missing values from activated sludge data using Kohonen self-organizing map. J.Environ. Eng. 2007, 133:909-916.
-
(2007)
J.Environ. Eng.
, vol.133
, pp. 909-916
-
-
Rustum, R.1
Adeloye, A.J.2
-
157
-
-
39749167837
-
Applying Kohonen self-organizing map as a software sensor to predict biochemical oxygen demand
-
Rustum R., Adeloye A.J., Scholz M. Applying Kohonen self-organizing map as a software sensor to predict biochemical oxygen demand. Water Environ. Res. 2008, 80:32-40.
-
(2008)
Water Environ. Res.
, vol.80
, pp. 32-40
-
-
Rustum, R.1
Adeloye, A.J.2
Scholz, M.3
-
158
-
-
21744442500
-
-
Ph.D. thesis, Ghent University, Faculty of Agricultural and Applied Biological Sciences, Ghent, Belgium
-
Sin G. Systematic Calibration of Activated Sludge Models 2004, Ph.D. thesis, Ghent University, Faculty of Agricultural and Applied Biological Sciences, Ghent, Belgium.
-
(2004)
Systematic Calibration of Activated Sludge Models
-
-
Sin, G.1
-
160
-
-
1142279487
-
Online estimation of wastewater nitrifiable nitrogen, nitrification and denitrification rates, using ORP and DO dynamics
-
Spérandio M., Queinnec I. Online estimation of wastewater nitrifiable nitrogen, nitrification and denitrification rates, using ORP and DO dynamics. Water Sci. Technol. 2004, 49:31-38.
-
(2004)
Water Sci. Technol.
, vol.49
, pp. 31-38
-
-
Spérandio, M.1
Queinnec, I.2
-
161
-
-
0000388992
-
Consistent nonparametric regression
-
Stone C. Consistent nonparametric regression. Ann. Stat. 1977, 5:595-620.
-
(1977)
Ann. Stat.
, vol.5
, pp. 595-620
-
-
Stone, C.1
-
162
-
-
0000376692
-
Wavelets
-
Strang G. Wavelets. Am. Sci. 1994, 82:250-255.
-
(1994)
Am. Sci.
, vol.82
, pp. 250-255
-
-
Strang, G.1
-
163
-
-
0033377733
-
Neural fuzzy modeling of anaerobic biological wastewater treatment systems
-
Tay J.H., Zhang X. Neural fuzzy modeling of anaerobic biological wastewater treatment systems. J.Environ. Eng. ASCE 1999, 125:1149-1159.
-
(1999)
J.Environ. Eng. ASCE
, vol.125
, pp. 1149-1159
-
-
Tay, J.H.1
Zhang, X.2
-
164
-
-
0034256936
-
Afast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems
-
Tay J.H., Zhang X. Afast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems. Water Res. 2000, 34:2849-2860.
-
(2000)
Water Res.
, vol.34
, pp. 2849-2860
-
-
Tay, J.H.1
Zhang, X.2
-
165
-
-
0003479105
-
-
Ph.D. thesis, Lappeenranta University of Technology, Department of Chemical Technology, Lappeenranta, Finland
-
Teppola P. Multivariate Process Monitoring of Sequential Process Data - a Chemometric Approach 1999, Ph.D. thesis, Lappeenranta University of Technology, Department of Chemical Technology, Lappeenranta, Finland.
-
(1999)
Multivariate Process Monitoring of Sequential Process Data - a Chemometric Approach
-
-
Teppola, P.1
-
166
-
-
0001130141
-
Possibilistic and fuzzy c-means clustering for process monitoring in an activated sludge waste-water treatment plant
-
Teppola P., Minkkinen P. Possibilistic and fuzzy c-means clustering for process monitoring in an activated sludge waste-water treatment plant. J.Chemometr. 1999, 13:445-459.
-
(1999)
J.Chemometr.
, vol.13
, pp. 445-459
-
-
Teppola, P.1
Minkkinen, P.2
-
167
-
-
0030780449
-
Partial least squares modeling of an activated sludge plant: a case study
-
Teppola P., Mujunen S.P., Minkkinen P. Partial least squares modeling of an activated sludge plant: a case study. Chemometr. Intell. Lab. 1997, 38:197-208.
-
(1997)
Chemometr. Intell. Lab.
, vol.38
, pp. 197-208
-
-
Teppola, P.1
Mujunen, S.P.2
Minkkinen, P.3
-
168
-
-
0032490672
-
Acombined approach of partial least squares and fuzzy c-means clustering for the monitoring of an activated-sludge waste-water treatment plant
-
Teppola P., Mujunen S.P., Minkkinen P. Acombined approach of partial least squares and fuzzy c-means clustering for the monitoring of an activated-sludge waste-water treatment plant. Chemometr. Intell. Lab. 1998, 41:95-103.
-
(1998)
Chemometr. Intell. Lab.
, vol.41
, pp. 95-103
-
-
Teppola, P.1
Mujunen, S.P.2
Minkkinen, P.3
-
170
-
-
0033580127
-
Kalman filter for updating the coefficients of regression models. A case study from an activated sludge waste-water treatment plant
-
Teppola P., Mujunen S.P., Minkkinen P. Kalman filter for updating the coefficients of regression models. A case study from an activated sludge waste-water treatment plant. Chemometr. Intell. Lab. 1999, 45:371-384.
-
(1999)
Chemometr. Intell. Lab.
, vol.45
, pp. 371-384
-
-
Teppola, P.1
Mujunen, S.P.2
Minkkinen, P.3
-
171
-
-
79960915427
-
WWTP diagnosis based on robust principal component analysis
-
Tharrault Y., Mourot G., Ragot J. WWTP diagnosis based on robust principal component analysis. Proc. of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain 2009, 1342-1347.
-
(2009)
Proc. of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain
, pp. 1342-1347
-
-
Tharrault, Y.1
Mourot, G.2
Ragot, J.3
-
172
-
-
0035190198
-
The treatment of pulp and paper mill effluent: a review
-
Thompson G., Swain J., Kay M., Forster C.F. The treatment of pulp and paper mill effluent: a review. Bioresour. Technol. 2001, 77:275-286.
-
(2001)
Bioresour. Technol.
, vol.77
, pp. 275-286
-
-
Thompson, G.1
Swain, J.2
Kay, M.3
Forster, C.F.4
-
174
-
-
0037192009
-
Analysis of activated sludge process using multivariate statistical tools - a PCA approach
-
Tomita R.K., Park S.W., Sotomayor O.A.Z. Analysis of activated sludge process using multivariate statistical tools - a PCA approach. Chem. Eng. J. 2002, 90:283-290.
-
(2002)
Chem. Eng. J.
, vol.90
, pp. 283-290
-
-
Tomita, R.K.1
Park, S.W.2
Sotomayor, O.A.Z.3
-
175
-
-
0026701375
-
Kinetic model for the effects of heavy metals on activated sludge process using neural networks
-
Tyagi R.D., Du Y.G. Kinetic model for the effects of heavy metals on activated sludge process using neural networks. Environ. Technol. 1992, 13:883-890.
-
(1992)
Environ. Technol.
, vol.13
, pp. 883-890
-
-
Tyagi, R.D.1
Du, Y.G.2
-
176
-
-
0037214850
-
On-line monitoring equipment for wastewater treatment processes: state of the art
-
Vanrolleghem P.A., Lee D.S. On-line monitoring equipment for wastewater treatment processes: state of the art. Water Sci. Technol. 2003, 47:1-34.
-
(2003)
Water Sci. Technol.
, vol.47
, pp. 1-34
-
-
Vanrolleghem, P.A.1
Lee, D.S.2
-
177
-
-
45549109188
-
Combining multiway principal component analysis (MPCA) and clustering for efficient data mining of historical data sets of SBR processes
-
Villez K., Ruiz M., Sin G., Colomer J., Rosen C., Vanrolleghem P.A. Combining multiway principal component analysis (MPCA) and clustering for efficient data mining of historical data sets of SBR processes. Water Sci. Technol. 2008, 57:1659-1666.
-
(2008)
Water Sci. Technol.
, vol.57
, pp. 1659-1666
-
-
Villez, K.1
Ruiz, M.2
Sin, G.3
Colomer, J.4
Rosen, C.5
Vanrolleghem, P.A.6
-
181
-
-
79951857690
-
Prediction of effluent quality of a paper mill wastewater treatment using an adaptive network-based fuzzy inference system
-
Wan J., Huang M., Ma Y., Guo W., Wang Y., Zhang H., Li W., Sun X. Prediction of effluent quality of a paper mill wastewater treatment using an adaptive network-based fuzzy inference system. Appl. Softw. Comput. 2011, 11:3238-3246.
-
(2011)
Appl. Softw. Comput.
, vol.11
, pp. 3238-3246
-
-
Wan, J.1
Huang, M.2
Ma, Y.3
Guo, W.4
Wang, Y.5
Zhang, H.6
Li, W.7
Sun, X.8
-
182
-
-
78649906588
-
-
Water Environment Federation, WEF Manual of Practice No. FD-3, WEF Press
-
Industrial Wastewater Management, Treatment and Disposal 2008, Water Environment Federation, WEF Manual of Practice No. FD-3, WEF Press. third ed.
-
(2008)
Industrial Wastewater Management, Treatment and Disposal
-
-
-
183
-
-
0034380644
-
Identifying process conditions in an urban wastewater treatment plant
-
West D., Mangiameli P. Identifying process conditions in an urban wastewater treatment plant. Int. J. Oper. Prod. Man. 2000, 20:573-590.
-
(2000)
Int. J. Oper. Prod. Man.
, vol.20
, pp. 573-590
-
-
West, D.1
Mangiameli, P.2
-
185
-
-
56149125295
-
On-line estimation of key process variables based on kernel partial least squares in an industrial cokes wastewater treatment plant
-
Woo S.H., Jeon C.O., Yun Y.S., Choi H., Lee C.S., Lee D.S. On-line estimation of key process variables based on kernel partial least squares in an industrial cokes wastewater treatment plant. J.Hazard. Mater. 2009, 161:538-544.
-
(2009)
J.Hazard. Mater.
, vol.161
, pp. 538-544
-
-
Woo, S.H.1
Jeon, C.O.2
Yun, Y.S.3
Choi, H.4
Lee, C.S.5
Lee, D.S.6
-
186
-
-
85043091942
-
-
Woodard & Curran, Inc., Butterworth-Heinemann
-
Industrial Waste Treatment Handbook 2006, Woodard & Curran, Inc., Butterworth-Heinemann. second ed.
-
(2006)
Industrial Waste Treatment Handbook
-
-
-
187
-
-
79960918087
-
Artificial intelligence-based prediction models for environmental engineering
-
Yetilmezsoy K., Ozkaya B., Cakmakci M. Artificial intelligence-based prediction models for environmental engineering. Neural Netw. World 2011, 21:193-218.
-
(2011)
Neural Netw. World
, vol.21
, pp. 193-218
-
-
Yetilmezsoy, K.1
Ozkaya, B.2
Cakmakci, M.3
-
188
-
-
0345823610
-
Process system engineering in wastewater treatment process
-
Yoo C.K., Kim D.S., Cho J.H., Choi S.W., Lee I.B. Process system engineering in wastewater treatment process. Korean J. Chem. Eng. 2001, 18:408-421.
-
(2001)
Korean J. Chem. Eng.
, vol.18
, pp. 408-421
-
-
Yoo, C.K.1
Kim, D.S.2
Cho, J.H.3
Choi, S.W.4
Lee, I.B.5
-
189
-
-
0141831911
-
Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants
-
Yoo C.K., Vanrolleghem P.A., Lee I.B. Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants. J.Biotechnol. 2003, 105:135-163.
-
(2003)
J.Biotechnol.
, vol.105
, pp. 135-163
-
-
Yoo, C.K.1
Vanrolleghem, P.A.2
Lee, I.B.3
-
190
-
-
13444262016
-
Application of fuzzy partial least squares (FPLS) modeling nonlinear biological processes
-
Yoo C.K., Bang Y.H., Lee I.B., Vanrolleghem P.A., Rosen C. Application of fuzzy partial least squares (FPLS) modeling nonlinear biological processes. Korean J. Chem. Eng. 2004, 21:1087-1097.
-
(2004)
Korean J. Chem. Eng.
, vol.21
, pp. 1087-1097
-
-
Yoo, C.K.1
Bang, Y.H.2
Lee, I.B.3
Vanrolleghem, P.A.4
Rosen, C.5
-
191
-
-
52649137193
-
Enhanced process monitoring for wastewater treatment systems
-
Yoo C.K., Villez K., Van Hulle S.W.H., Vanrolleghem P.A. Enhanced process monitoring for wastewater treatment systems. Environmetrics 2008, 19:602-617.
-
(2008)
Environmetrics
, vol.19
, pp. 602-617
-
-
Yoo, C.K.1
Villez, K.2
Van Hulle, S.W.H.3
Vanrolleghem, P.A.4
-
192
-
-
0032144732
-
State space neural network. Properties and applications
-
Zamarrenoa J., Vega P. State space neural network. Properties and applications. Neural Netw. 1998, 11:1099-1112.
-
(1998)
Neural Netw.
, vol.11
, pp. 1099-1112
-
-
Zamarrenoa, J.1
Vega, P.2
-
193
-
-
24944539826
-
Wastewater BOD forecasting model for optimal operation using robust time-delay neural network
-
Zhao L., Chai T. Wastewater BOD forecasting model for optimal operation using robust time-delay neural network. Proc. ISNN 2005, Second International Symposium on Neural Networks, Part III, Chongqing, China 2005, 1028-1033.
-
(2005)
Proc. ISNN 2005, Second International Symposium on Neural Networks, Part III, Chongqing, China
, pp. 1028-1033
-
-
Zhao, L.1
Chai, T.2
-
194
-
-
34047234134
-
Operating condition recognition of pre-denitrification bioprocess using robust EMPCA and FCM
-
Zhao L., Chai T., Cong Q. Operating condition recognition of pre-denitrification bioprocess using robust EMPCA and FCM. Proc. WCICA 2006, The 6th World Congress on Intelligent Control and Automation, Dalian, China 2006, 9386-9390.
-
(2006)
Proc. WCICA 2006, The 6th World Congress on Intelligent Control and Automation, Dalian, China
, pp. 9386-9390
-
-
Zhao, L.1
Chai, T.2
Cong, Q.3
-
195
-
-
84860111574
-
Local linear regression for soft-sensor design with application to an industrial deethanizer
-
Zhu Z., Corona F., Lendasse A., Baratti R., Romagnoli J. Local linear regression for soft-sensor design with application to an industrial deethanizer. Proc. of The18th IFAC World Congress, Milano, Italy 2011, 6212-6217.
-
(2011)
Proc. of The18th IFAC World Congress, Milano, Italy
, pp. 6212-6217
-
-
Zhu, Z.1
Corona, F.2
Lendasse, A.3
Baratti, R.4
Romagnoli, J.5
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