-
1
-
-
0028240040
-
Acute respiratory effects of particulate air pollution
-
D. W. Dockery and C. A. Pope III, Acute respiratory effects of particulate air pollution, Annu. Rev. of Publ. Health 15 (1994) 107-132.
-
(1994)
Annu. Rev. of Publ. Health
, vol.15
, pp. 107-132
-
-
Dockery, D.W.1
Pope III, C.A.2
-
2
-
-
0032446632
-
Climate forcing by carbonaceous and sulfate aerosols
-
J. E. Penner, C. C. Chuang and K. Grant, Climate forcing by carbonaceous and sulfate aerosols, Clim. Dynam. 14 (1998) 839-851.
-
(1998)
Clim. Dynam.
, vol.14
, pp. 839-851
-
-
Penner, J.E.1
Chuang, C.C.2
Grant, K.3
-
3
-
-
0035825677
-
Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols
-
M. Z. Jacobson, Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols, Nature 409 (2001) 695-697.
-
(2001)
Nature
, vol.409
, pp. 695-697
-
-
Jacobson, M.Z.1
-
4
-
-
73249146629
-
Engine idle-speed system modelling and control optimization using artificial intelligence
-
P. K. Wong, L. M. Tam, K. Li and C. M. Vong, Engine idle-speed system modelling and control optimization using artificial intelligence, P. I. Mech. Eng. D-J. Aut. 224 (2010) 55-72.
-
(2010)
P. I. Mech. Eng. D-J. Aut.
, vol.224
, pp. 55-72
-
-
Wong, P.K.1
Tam, L.M.2
Li, K.3
Vong, C.M.4
-
6
-
-
0029521120
-
Development and testing of diesel engine CFD models
-
R. D. Reitz and C. J. Rutland, Development and testing of diesel engine CFD models, Prog. Energ Combust. 21 (1995) 173-196.
-
(1995)
Prog. Energ Combust.
, vol.21
, pp. 173-196
-
-
Reitz, R.D.1
Rutland, C.J.2
-
7
-
-
39749114440
-
Multi-zone modeling of combustion and emissions formation in di diesel engine operating on ethanoldiesel fuel blends
-
C. D. Rakopoulos, K. A. Antonopoulos, D. C. Rakopoulos and D. T. Hountalas, Multi-zone modeling of combustion and emissions formation in DI diesel engine operating on ethanoldiesel fuel blends, Energ. Convers. Manage. 49 (2008) 625-643.
-
(2008)
Energ. Convers. Manage.
, vol.49
, pp. 625-643
-
-
Rakopoulos, C.D.1
Antonopoulos, K.A.2
Rakopoulos, D.C.3
Hountalas, D.T.4
-
9
-
-
0032593633
-
Learning optimization in simplifying fuzzy rules
-
X. Wang and J. Hong, Learning optimization in simplifying fuzzy rules, Fuzzy Set. Syst. 106 (1999) 349-356.
-
(1999)
Fuzzy Set. Syst.
, vol.106
, pp. 349-356
-
-
Wang, X.1
Hong, J.2
-
10
-
-
0034294201
-
Improving learning accuracy of fuzzy decision trees by hybrid neural networks
-
E. C. C. Tsang, X. Z. Wang and D. S. Yeung, Improving learning accuracy of fuzzy decision trees by hybrid neural networks, IEEE Trans. Fuzzy Syst. 8 (2000) 601-614.
-
(2000)
IEEE Trans. Fuzzy Syst.
, vol.8
, pp. 601-614
-
-
Tsang, E.C.C.1
Wang, X.Z.2
Yeung, D.S.3
-
11
-
-
0035329839
-
Transferring case knowledge to adaptation knowledge: An approach for case-base maintenance
-
S. C. K. Shiu, D. S. Yeung, C. H. Sun and X. Z. Wang, Transferring case knowledge to adaptation knowledge: An approach for case-base maintenance, Comput. Intell. 17 (2001) 295-314.
-
(2001)
Comput. Intell.
, vol.17
, pp. 295-314
-
-
Shiu, S.C.K.1
Yeung, D.S.2
Sun, C.H.3
Wang, X.Z.4
-
12
-
-
0035310168
-
A comparative study on heuristic algorithms for generating fuzzy decision trees
-
X. Z. Wang, D. S. Yeung and E. C. C. Tsang, A comparative study on heuristic algorithms for generating fuzzy decision trees, IEEE Trans. Syst. Man, Cybern. B, Cybern. 31 (2001) 215-226.
-
(2001)
IEEE Trans. Syst. Man, Cybern. -Astr, Cybern.
, vol.31
, pp. 215-226
-
-
Wang, X.Z.1
Yeung, D.S.2
Tsang, E.C.C.3
-
13
-
-
34249753618
-
Support-vector networks
-
C. Cortes and V. Vapnik, Support-vector networks, Mach. Learn. 20 (1995) 273-297.
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
14
-
-
0037695279
-
-
World Scientific, Singapore
-
J. A. K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor and J. Vandewalle, Least squares support vector machines (World Scientific, Singapore, 2002).
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.A.K.1
Van Gestel, T.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
15
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
M. E. Tipping, Sparse bayesian learning and the relevance vector machine, J. Mach. Learn. Res. 1 (2001) 211-244.
-
(2001)
J. Mach. Learn. Res.
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
16
-
-
0035501962
-
A new approach to fuzzy rule generation: Fuzzy extension matrix
-
X. Z. Wang, Y. D. Wang, X. F. Xu, W. D. Ling and D. S. Yeung, A new approach to fuzzy rule generation: Fuzzy extension matrix, Fuzzy Set. Syst. 123 (2001) 291-306.
-
(2001)
Fuzzy Set. Syst.
, vol.123
, pp. 291-306
-
-
Wang, X.Z.1
Wang, Y.D.2
Xu, X.F.3
Ling, W.D.4
Yeung, D.S.5
-
17
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
G. B. Huang, Q. Y. Zhu and C. K. Siew, Extreme learning machine: Theory and applications, Neurocomputing 70 (2006) 489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
19
-
-
84859007933
-
Extreme learning machine for regression and multiclass classification
-
G. B. Huang, H. M. Zhou, X. J. Ding and R. Zhang, Extreme learning machine for regression and multiclass classification, IEEE Trans. Syst. Man, Cybern. B, Cybern. 42 (2012) 513-529.
-
(2012)
IEEE Trans. Syst. Man, Cybern. B, Cybern.
, vol.42
, pp. 513-529
-
-
Huang, G.B.1
Zhou, H.M.2
Ding, X.J.3
Zhang, R.4
-
20
-
-
78651467913
-
Prediction of diesel engine performance using biofuels with artificial neural network
-
H. Oguz, I. Saritas and H. E. Baydan, Prediction of diesel engine performance using biofuels with artificial neural network, Expert Syst. Appl. 37 (2010) 6579-6586.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 6579-6586
-
-
Oguz, H.1
Saritas, I.2
Baydan, H.E.3
-
21
-
-
79961026747
-
Crude palm oil fuel for diesel-engines: Experimental and ANN simulation approaches
-
T. F. Yusaf, B. F. Yousif and M. M. Elawad, Crude palm oil fuel for diesel-engines: Experimental and ANN simulation approaches, Energy 36 (2011) 4871-4878.
-
(2011)
Energy
, vol.36
, pp. 4871-4878
-
-
Yusaf, T.F.1
Yousif, B.F.2
Elawad, M.M.3
-
22
-
-
84855272041
-
Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends
-
H. M. Ismail, H. K. Ng, C. W. Queck and S. Gan, Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends, Appl. Energ. 92 (2012) 769-777.
-
(2012)
Appl. Energ.
, vol.92
, pp. 769-777
-
-
Ismail, H.M.1
Ng, H.K.2
Queck, C.W.3
Gan, S.4
-
23
-
-
0035100447
-
Improving neural network training solutions using regularisation
-
S. Mc Loone and G. Irwin, Improving neural network training solutions using regularisation, Neurocomputing 37 (2001) 71-90.
-
(2001)
Neurocomputing
, vol.37
, pp. 71-90
-
-
Mc Loone, S.1
Irwin, G.2
-
24
-
-
48749124544
-
The application of artificial neural networks with small data sets: An example for analysis of fracture spacing in the Lisburne Formation, northeastern Alaska
-
D. Kaviani, T. D. Bui, J. L. Jensen and C. L. Hanks, The application of artificial neural networks with small data sets: An example for analysis of fracture spacing in the Lisburne Formation, northeastern Alaska, SPE Reserv. Eval. Eng. 11 (2008) 598-605.
-
(2008)
SPE Reserv. Eval. Eng.
, vol.11
, pp. 598-605
-
-
Kaviani, D.1
Bui, T.D.2
Jensen, J.L.3
Hanks, C.L.4
-
25
-
-
13644256120
-
Support vector machines for classification in remote sensing
-
M. Pal and P. M. Mather, Support vector machines for classification in remote sensing, Int. J. Remote Sens. 26 (2005) 1007-1011.
-
(2005)
Int. J. Remote Sens.
, vol.26
, pp. 1007-1011
-
-
Pal, M.1
Mather, P.M.2
-
26
-
-
0028420218
-
Learning and generalization characteristics of the random vector functional-link net
-
Y. H. Pao, G. H. Park and D. J. Sobajic, Learning and generalization characteristics of the random vector functional-link net, Neurocomputing 6 (1994) 163-180.
-
(1994)
Neurocomputing
, vol.6
, pp. 163-180
-
-
Pao, Y.H.1
Park, G.H.2
Sobajic, D.J.3
-
27
-
-
0029403793
-
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
-
B. Igelnik and Y. H. Pao, Stochastic choice of basis functions in adaptive function approximation and the functional-link net, IEEE Trans. Neural Netw. 6 (1995) 1320-1329.
-
(1995)
IEEE Trans. Neural Netw.
, vol.6
, pp. 1320-1329
-
-
Igelnik, B.1
Pao, Y.H.2
-
29
-
-
49649084441
-
Comments on "the Extreme Learning Machine"
-
L. P. Wang and C. R. Wan, Comments on "The Extreme Learning Machine", IEEE Trans. Neural Netw. 19 (2008) 1494-1495.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, pp. 1494-1495
-
-
Wang, L.P.1
Wan, C.R.2
-
30
-
-
49649105493
-
Reply to Comments on "the Extreme Learning Machine"
-
G. B. Huang, Reply to Comments on "The Extreme Learning Machine", IEEE Trans. Neural Netw. 19 (2008) 1495-1496.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, pp. 1495-1496
-
-
Huang, G.B.1
-
31
-
-
73949154686
-
OP-ELM: Optimally pruned extreme learning machine
-
Y. Miche, A. Sorjamaa, P. Bas, O. Simula, C. Jutten and A. Lendasse, OP-ELM: Optimally pruned extreme learning machine, IEEE Trans. Neural Netw. 21 (2010) 158-162.
-
(2010)
IEEE Trans. Neural Netw.
, vol.21
, pp. 158-162
-
-
Miche, Y.1
Sorjamaa, A.2
Bas, P.3
Simula, O.4
Jutten, C.5
Lendasse, A.6
-
32
-
-
80051669013
-
A study on effectiveness of extreme learning machine
-
Y. Wang, F. Cao and Y. Yuan, A study on effectiveness of extreme learning machine, Neurocomputing 74 (2011) 2483-2490.
-
(2011)
Neurocomputing
, vol.74
, pp. 2483-2490
-
-
Wang, Y.1
Cao, F.2
Yuan, Y.3
-
33
-
-
84870252621
-
Image classification based on effective extreme learning machine
-
F. Cao, B. Liu and D. Sun Park, Image classification based on effective extreme learning machine, Neurocomputing 102 (2013) 90-97.
-
(2013)
Neurocomputing
, vol.102
, pp. 90-97
-
-
Cao, F.1
Liu, B.2
Sun Park, D.3
-
34
-
-
49249135950
-
Power utility nontechnical loss analysis with extreme learning machine method
-
A. H. Nizar, Z. Y. Dong and Y. Wang, Power utility nontechnical loss analysis with extreme learning machine method, IEEE Trans. Power Syst. 23 (2008) 946-955.
-
(2008)
IEEE Trans. Power Syst.
, vol.23
, pp. 946-955
-
-
Nizar, A.H.1
Dong, Z.Y.2
Wang, Y.3
-
35
-
-
79951521183
-
Real-time transient stability assessment model using extreme learning machine
-
Y. Xu, Z. Y. Dong, K. Meng, R. Zhang and K. P. Wong, Real-time transient stability assessment model using extreme learning machine, IET Gener Transm Dis 5 (2011) 314-322.
-
(2011)
IET Gener Transm Dis
, vol.5
, pp. 314-322
-
-
Xu, Y.1
Dong, Z.Y.2
Meng, K.3
Zhang, R.4
Wong, K.P.5
-
36
-
-
84870254661
-
Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system
-
S. Wu, Y. Wang and S. Cheng, Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system, Neurocomputing, 102 (2013) 163-175.
-
(2013)
Neurocomputing
, vol.102
, pp. 163-175
-
-
Wu, S.1
Wang, Y.2
Cheng, S.3
-
37
-
-
12444339765
-
Modelling of modern automotive petrol engine performance using support vector machines
-
C. M. Vong, P. K. Wong, Y. P. Li and C. M. Ho, Modelling of modern automotive petrol engine performance using support vector machines, J. Zhejiang Univ. Sci. A 6 (2005) 1-8.
-
(2005)
J. Zhejiang Univ. Sci. A
, vol.6
, pp. 1-8
-
-
Vong, C.M.1
Wong, P.K.2
Li, Y.P.3
Ho, C.M.4
-
38
-
-
31744447275
-
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
-
C. M. Vong, P. K. Wong and Y. P. Li, Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference, Eng. Appl. Artif. Intel. 19 (2006) 277-287.
-
(2006)
Eng. Appl. Artif. Intel.
, vol.19
, pp. 277-287
-
-
Vong, C.M.1
Wong, P.K.2
Li, Y.P.3
-
39
-
-
34548698657
-
Integrating relevance vector machines and genetic algorithms for optimization of seed-separating process
-
J. Yuan, K. Wang, T. Yu and M. Fang, Integrating relevance vector machines and genetic algorithms for optimization of seed-separating process, Eng. Appl. Artif. Intel. 20 (2007) 970-979.
-
(2007)
Eng. Appl. Artif. Intel.
, vol.20
, pp. 970-979
-
-
Yuan, J.1
Wang, K.2
Yu, T.3
Fang, M.4
-
40
-
-
77949658813
-
Application of relevance vector machine and logistic regression for machine degradation assessment
-
W. Caesarendra, A. Widodo and B. S. Yang, Application of relevance vector machine and logistic regression for machine degradation assessment, Mech. Syst. Signal Pr. 24 (2010) 1161-1171.
-
(2010)
Mech. Syst. Signal Pr.
, vol.24
, pp. 1161-1171
-
-
Caesarendra, W.1
Widodo, A.2
Yang, B.S.3
-
41
-
-
84856452836
-
Automotive engine power performance tuning under numerical and nominal data
-
P. K. Wong, L. M. Tam and L. Ke, Automotive engine power performance tuning under numerical and nominal data, Control Eng. Pract. 20 (2012) 300-314.
-
(2012)
Control Eng. Pract.
, vol.20
, pp. 300-314
-
-
Wong, P.K.1
Tam, L.M.2
Ke, L.3
-
42
-
-
80455150418
-
Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine
-
P. K. Wong, Q. Xu, C. M. Vong and H. C. Wong, Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine, IEEE Trans. Ind. Electron. 59 (2012) 1988-2001.
-
(2012)
IEEE Trans. Ind. Electron.
, vol.59
, pp. 1988-2001
-
-
Wong, P.K.1
Xu, Q.2
Vong, C.M.3
Wong, H.C.4
-
43
-
-
84878630549
-
Modeling and optimization of biodiesel engine performance using advanced machine learning methods
-
K. I. Wong, P. K. Wong, C. S. Cheung and C. M. Vong, Modeling and optimization of biodiesel engine performance using advanced machine learning methods, Energy 55 (2013) 519-528.
-
(2013)
Energy
, vol.55
, pp. 519-528
-
-
Wong, K.I.1
Wong, P.K.2
Cheung, C.S.3
Vong, C.M.4
-
44
-
-
71849118548
-
Emissions characteristics of a diesel engine operating on biodiesel and biodiesel blended with ethanol and methanol
-
L. Zhu, C. S. Cheung, W. G. Zhang and Z. Huang, Emissions characteristics of a diesel engine operating on biodiesel and biodiesel blended with ethanol and methanol, Sci Total Environ. 408 (2010) 914-921.
-
(2010)
Sci Total Environ.
, vol.408
, pp. 914-921
-
-
Zhu, L.1
Cheung, C.S.2
Zhang, W.G.3
Huang, Z.4
-
45
-
-
79952532837
-
Combustion performance and emission characteristics of a di diesel engine fueled with ethanol-biodiesel blends
-
L. Zhu, C. S. Cheung, W. G. Zhang and Z. Huang, Combustion, performance and emission characteristics of a DI diesel engine fueled with ethanol-biodiesel blends, Fuel 90 (2011) 1743-1750.
-
(2011)
Fuel
, vol.90
, pp. 1743-1750
-
-
Zhu, L.1
Cheung, C.S.2
Zhang, W.G.3
Huang, Z.4
-
46
-
-
12444291490
-
Gaussian processes for machine learning
-
M. Seeger, Gaussian processes for machine learning, Int. J. Neural Syst. 14 (2004) 69-106.
-
(2004)
Int. J. Neural Syst.
, vol.14
, pp. 69-106
-
-
Seeger, M.1
-
48
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. J. C. Burges, A tutorial on support vector machines for pattern recognition, Data Min. Knowl. Disc. 2 (1998) 121-167.
-
(1998)
Data Min. Knowl. Disc.
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
49
-
-
82355175771
-
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks
-
E. Romero and R. Alquézar, Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks, Neural Networks 25 (2012) 122-129.
-
(2012)
Neural Networks
, vol.25
, pp. 122-129
-
-
Romero, E.1
Alquézar, R.2
|