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Volumn 100, Issue 20, 2009, Pages 4579-4587

Effects of phase vector and history extension on prediction power of adaptive-network based fuzzy inference system (ANFIS) model for a real scale anaerobic wastewater treatment plant operating under unsteady state

Author keywords

Adaptive network based fuzzy inference system; Anaerobic wastewater treatment; History extension; Modeling; Phase vector

Indexed keywords

ADAPTIVE-NETWORK BASED FUZZY INFERENCE SYSTEM; ANAEROBIC WASTEWATER TREATMENT; ANAEROBIC WASTEWATER TREATMENT PLANTS; ANFIS MODEL; DEVELOPED MODEL; FUZZY INFERENCE SYSTEMS; INPUT VARIABLES; MATRIX; MODELING; NETWORK-BASED; NEURAL-FUZZY MODEL; NEW APPROACHES; ON-LINE VARIABLES; OPERATIONAL VARIABLES; PHASE VECTOR; PREDICTIVE POWER; RETENTION TIME; TREATMENT SYSTEMS; UNSTEADY STATE;

EID: 67649170386     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2009.04.049     Document Type: Article
Times cited : (24)

References (36)
  • 1
    • 38049094471 scopus 로고    scopus 로고
    • Optimal design of neural nets using hybrid algorithms
    • Melbourne, pp
    • Abraham, A., Nath, B., 2000. Optimal design of neural nets using hybrid algorithms. In: Proc. PRICAI 2000, Melbourne, pp. 510-520.
    • (2000) Proc. PRICAI , pp. 510-520
    • Abraham, A.1    Nath, B.2
  • 2
    • 52949138733 scopus 로고    scopus 로고
    • Multivariate statistical monitoring of continuous wastewater treatment plants
    • Aguado D., and Rosen C. Multivariate statistical monitoring of continuous wastewater treatment plants. Eng. Appl. Artif. Int. 21 (2008) 1080-1091
    • (2008) Eng. Appl. Artif. Int. , vol.21 , pp. 1080-1091
    • Aguado, D.1    Rosen, C.2
  • 3
    • 2442571794 scopus 로고    scopus 로고
    • Application of adaptive neuro-fuzzy controller for SRM
    • Akcayol M.A. Application of adaptive neuro-fuzzy controller for SRM. Adv. Eng. Software 35 (2004) 129-137
    • (2004) Adv. Eng. Software , vol.35 , pp. 129-137
    • Akcayol, M.A.1
  • 4
    • 0033344178 scopus 로고    scopus 로고
    • Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
    • Altug S., Chow M.Y., and Trussell H.J. Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis. IEEE Trans. Ind. Elect. 46 6 (1999) 1069-1079
    • (1999) IEEE Trans. Ind. Elect. , vol.46 , Issue.6 , pp. 1069-1079
    • Altug, S.1    Chow, M.Y.2    Trussell, H.J.3
  • 5
    • 0003425384 scopus 로고
    • WEF, 19th ed. American Public Health Association, American Water Works Association, Water Environment Federation, Washington, DC, USA
    • APHA, AWWA, WEF, 1995. Standard Methods for the Examination of Water and Wastewater, 19th ed. American Public Health Association, American Water Works Association, Water Environment Federation, Washington, DC, USA.
    • (1995) Standard Methods for the Examination of Water and Wastewater
    • APHA, A.1
  • 6
    • 35748959683 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy modelling of anaerobic digestion of primary sedimentation sludge
    • Cakmakci M. Adaptive neuro-fuzzy modelling of anaerobic digestion of primary sedimentation sludge. Bioprocess Biosyst. Eng. 30 (2007) 349-357
    • (2007) Bioprocess Biosyst. Eng. , vol.30 , pp. 349-357
    • Cakmakci, M.1
  • 7
    • 0036131604 scopus 로고    scopus 로고
    • Rule-based diagnosis and supervision of a pilot-scale wastewater treatment plant using fuzzy logic techniques
    • Carrasco E.F., Rodriguez J., Punal A., Roca R., and Lema J.M. Rule-based diagnosis and supervision of a pilot-scale wastewater treatment plant using fuzzy logic techniques. Expert Sys. Appl. 22 (2002) 11-20
    • (2002) Expert Sys. Appl. , vol.22 , pp. 11-20
    • Carrasco, E.F.1    Rodriguez, J.2    Punal, A.3    Roca, R.4    Lema, J.M.5
  • 8
    • 34547879296 scopus 로고    scopus 로고
    • Selection of variable using factorial discriminant analysis for the state identification of an anaerobic UASB-UAF hybrid pilot plant, fed with winery effluents
    • Castellano M., Ruiz-Filippi G., Gonzalez W., Roca E., and Lema J.M. Selection of variable using factorial discriminant analysis for the state identification of an anaerobic UASB-UAF hybrid pilot plant, fed with winery effluents. Water Sci. Technol. 56 2 (2007) 139-145
    • (2007) Water Sci. Technol. , vol.56 , Issue.2 , pp. 139-145
    • Castellano, M.1    Ruiz-Filippi, G.2    Gonzalez, W.3    Roca, E.4    Lema, J.M.5
  • 10
    • 0042538707 scopus 로고    scopus 로고
    • Identification and control of anaerobic digesters using adaptive, on-line trained neural networks
    • Emmanouilides C., and Petrou L. Identification and control of anaerobic digesters using adaptive, on-line trained neural networks. Comput. Chem. Eng. 21 1 (1997) 113-143
    • (1997) Comput. Chem. Eng. , vol.21 , Issue.1 , pp. 113-143
    • Emmanouilides, C.1    Petrou, L.2
  • 11
    • 35549006336 scopus 로고    scopus 로고
    • Fuzzy-based control of an anaerobic reactor treating wastewaters containing ethanol and carbohydrates
    • Garcia C., Molina F., Roca E., and Lema J.M. Fuzzy-based control of an anaerobic reactor treating wastewaters containing ethanol and carbohydrates. Ind. Eng. Chem. Res. 46 (2007) 6707-6715
    • (2007) Ind. Eng. Chem. Res. , vol.46 , pp. 6707-6715
    • Garcia, C.1    Molina, F.2    Roca, E.3    Lema, J.M.4
  • 12
    • 0032990786 scopus 로고    scopus 로고
    • A fuzzy logic based diagnosis system for the on-line supervision of an anaerobic digestor pilot-plant
    • Genovesi A., Harmand J., and Steyer J.P. A fuzzy logic based diagnosis system for the on-line supervision of an anaerobic digestor pilot-plant. Biochem. Eng. J. 3 (1999) 171-183
    • (1999) Biochem. Eng. J. , vol.3 , pp. 171-183
    • Genovesi, A.1    Harmand, J.2    Steyer, J.P.3
  • 13
    • 18144421580 scopus 로고    scopus 로고
    • Prediction of parameters characterizing the state of a pollution removal biologic process
    • Grieu S., Traore A., Polit M., and Colprim J. Prediction of parameters characterizing the state of a pollution removal biologic process. Eng. Appl. Artif. Int. 18 5 (2005) 559-573
    • (2005) Eng. Appl. Artif. Int. , vol.18 , Issue.5 , pp. 559-573
    • Grieu, S.1    Traore, A.2    Polit, M.3    Colprim, J.4
  • 14
    • 0035988097 scopus 로고    scopus 로고
    • Advanced controlling of anaerobic digestion by means of hierarchical neural networks
    • Holubar P., Zani L., Hager M., Fröschl W., Radak Z., and Braun R. Advanced controlling of anaerobic digestion by means of hierarchical neural networks. Water Res. 36 (2002) 2582-2588
    • (2002) Water Res. , vol.36 , pp. 2582-2588
    • Holubar, P.1    Zani, L.2    Hager, M.3    Fröschl, W.4    Radak, Z.5    Braun, R.6
  • 15
    • 0043092370 scopus 로고    scopus 로고
    • Start-up and recovery of a biogas-reactor using a hierarchical neural network-based control tool
    • Holubar P., Zani L., Hager M., Froschl W., Radak Z., and Braun R. Start-up and recovery of a biogas-reactor using a hierarchical neural network-based control tool. J. Chem. Technol. Biotechnol. 78 (2003) 847-854
    • (2003) J. Chem. Technol. Biotechnol. , vol.78 , pp. 847-854
    • Holubar, P.1    Zani, L.2    Hager, M.3    Froschl, W.4    Radak, Z.5    Braun, R.6
  • 16
    • 0027601884 scopus 로고
    • ANFIS: adaptive-network-based fuzzy inference system
    • Jang R.J.S. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cyber. 23 3 (1993) 665-685
    • (1993) IEEE Trans. Syst. Man Cyber. , vol.23 , Issue.3 , pp. 665-685
    • Jang, R.J.S.1
  • 17
    • 0030385720 scopus 로고    scopus 로고
    • Input selection for ANFIS learning
    • New Orleans, pp
    • Jang, R.J.S., 1996. Input selection for ANFIS learning. In: Proc. IEEE Int. Conf. Fuzzy Syst., New Orleans, pp. 1493-1499.
    • (1996) Proc. IEEE Int. Conf. Fuzzy Syst , pp. 1493-1499
    • Jang, R.J.S.1
  • 19
    • 0029273384 scopus 로고
    • Neuro-fuzzy modeling and control
    • Jang R.J.S., and Sun C.T. Neuro-fuzzy modeling and control. Proc. IEEE 83 3 (1995) 378-405
    • (1995) Proc. IEEE , vol.83 , Issue.3 , pp. 378-405
    • Jang, R.J.S.1    Sun, C.T.2
  • 20
    • 0003753097 scopus 로고    scopus 로고
    • Prentice-Hall Inc, Simon&Schuster/A Viacom Company, Upper Saddle River, NJ 07458
    • Jang, R.J.S., Sun, C.T., Mizutani, E., 1997. Neuro-Fuzzy and Soft Computing. Prentice-Hall Inc., Simon&Schuster/A Viacom Company, Upper Saddle River, NJ 07458.
    • (1997) Neuro-Fuzzy and Soft Computing
    • Jang, R.J.S.1    Sun, C.T.2    Mizutani, E.3
  • 22
    • 33746777157 scopus 로고    scopus 로고
    • Nonlinear dynamic partial least squares modeling of a full-scale biological wastewater treatment plant
    • Lee D.S., Lee M.W., Woo S.H., Kim Y.J., and Park J.M. Nonlinear dynamic partial least squares modeling of a full-scale biological wastewater treatment plant. Process Biochem. 41 (2006) 2050-2057
    • (2006) Process Biochem. , vol.41 , pp. 2050-2057
    • Lee, D.S.1    Lee, M.W.2    Woo, S.H.3    Kim, Y.J.4    Park, J.M.5
  • 23
    • 50449095583 scopus 로고    scopus 로고
    • 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., and 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. 43 (2008) 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
  • 26
    • 34547644268 scopus 로고    scopus 로고
    • Evaluation of input variables in adaptive-network based fuzzy inference system (ANFIS) modeling for an anaerobic wastewater treatment plant under unsteady state
    • Perendeci A., Arslan S., Tanyolaç A., and Çelebi S.S. Evaluation of input variables in adaptive-network based fuzzy inference system (ANFIS) modeling for an anaerobic wastewater treatment plant under unsteady state. J. Environ. Eng. 133 7 (2007) 765-771
    • (2007) J. Environ. Eng. , vol.133 , Issue.7 , pp. 765-771
    • Perendeci, A.1    Arslan, S.2    Tanyolaç, A.3    Çelebi, S.S.4
  • 28
    • 0036051009 scopus 로고    scopus 로고
    • Expert system for the on-line diagnosis of anaerobic wastewater treatment plants
    • Puñal A., Rodríguez J., Carrasco E.F., Roca E., and Lema J.M. Expert system for the on-line diagnosis of anaerobic wastewater treatment plants. Water Sci. Technol. 45 10 (2002) 195-200
    • (2002) Water Sci. Technol. , vol.45 , Issue.10 , pp. 195-200
    • Puñal, A.1    Rodríguez, J.2    Carrasco, E.F.3    Roca, E.4    Lema, J.M.5
  • 29
    • 0036562515 scopus 로고    scopus 로고
    • An expert system for monitoring and diagnosis of anaerobic wastewater treatment plants
    • Puñal A., Roca E., and Lema J.M. An expert system for monitoring and diagnosis of anaerobic wastewater treatment plants. Water Res. 36 10 (2002) 2656-2666
    • (2002) Water Res. , vol.36 , Issue.10 , pp. 2656-2666
    • Puñal, A.1    Roca, E.2    Lema, J.M.3
  • 31
    • 0030663898 scopus 로고    scopus 로고
    • Hybrid fuzzy neural network for diagnosis - application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor
    • Steyer J.P., Rolland D., Bouvier J.C., and Moletta R. Hybrid fuzzy neural network for diagnosis - application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor. Water Sci. Technol. 36 6-7 (1997) 209-217
    • (1997) Water Sci. Technol. , vol.36 , Issue.6-7 , pp. 209-217
    • Steyer, J.P.1    Rolland, D.2    Bouvier, J.C.3    Moletta, R.4
  • 32
    • 0036054043 scopus 로고    scopus 로고
    • On-line measurements of COD, TOC, VFA, total and partial alkalinity in anaerobic digestion processes using infra-red spectrometry
    • Steyer J.P., Bouvier T., Conte T., Gras P., Harmand H., and Delgenes J.P. On-line measurements of COD, TOC, VFA, total and partial alkalinity in anaerobic digestion processes using infra-red spectrometry. Water Sci. Technol. 45 10 (2002) 133-138
    • (2002) Water Sci. Technol. , vol.45 , Issue.10 , pp. 133-138
    • Steyer, J.P.1    Bouvier, T.2    Conte, T.3    Gras, P.4    Harmand, H.5    Delgenes, J.P.6
  • 33
    • 0033377733 scopus 로고    scopus 로고
    • Neural fuzzy modeling of anaerobic biological wastewater treatment systems
    • Tay J.H., and Zhang X. Neural fuzzy modeling of anaerobic biological wastewater treatment systems. J. Environ. Eng. 125 12 (1999) 1149-1159
    • (1999) J. Environ. Eng. , vol.125 , Issue.12 , pp. 1149-1159
    • Tay, J.H.1    Zhang, X.2
  • 34
    • 0034256936 scopus 로고    scopus 로고
    • A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems
    • Tay J.H., and Zhang X. A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems. Water Res. 34 11 (2000) 2849-2860
    • (2000) Water Res. , vol.34 , Issue.11 , pp. 2849-2860
    • Tay, J.H.1    Zhang, X.2
  • 36
    • 67649214119 scopus 로고    scopus 로고
    • Pollution Prevention and Abatement Handbook
    • World Bank Guideline Sugar Manufacturing
    • World Bank Guideline Sugar Manufacturing, 1998. Pollution Prevention and Abatement Handbook. Towards Cleaner Production, pp. 401-403.
    • (1998) Towards Cleaner Production , pp. 401-403


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