-
2
-
-
0022471098
-
Learning representations by backpropagating errors
-
D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning representations by backpropagating errors, Nature 323 (1986) 533-536.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
3
-
-
0000743347
-
Training feedforward neural networks using genetic algorithms
-
D.J. Montana, L. Davis, Training feedforward neural networks using genetic algorithms, Machine Learning (1989) 762-767.
-
(1989)
Machine Learning
, pp. 762-767
-
-
Montana, D.J.1
Davis, L.2
-
4
-
-
84942134374
-
Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks, in: Proceedings of the
-
2003. SIS '03 2003
-
V.G. Gudise, G.K. Venayagamoorthy, Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks, in: Proceedings of the 2003 IEEE, Swarm Intelligence Symposium, 2003. SIS '03, 2003, pp. 110-117.
-
(2003)
IEEE Swarm Intelligence Symposium
, pp. 110-117
-
-
Gudise, V.G.1
Venayagamoorthy, G.K.2
-
5
-
-
34547535038
-
An ant colony optimization algorithm for continuous optimization: Application to feed-forward neural network training
-
K. Socha, C. Blum, An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training, Neural Computing &Applications 16 (2007) 235-247.
-
(2007)
Neural Computing &Applications
, vol.16
, pp. 235-247
-
-
Socha, K.1
Blum, C.2
-
6
-
-
28944441923
-
-
HIS '05, Fifth International Conference on 2005
-
C. Blum, K. Socha, Training feed-forward neural networks with ant colony optimization: an application to pattern classification, in: Hybrid Intelligent Systems, 2005, HIS '05, Fifth International Conference on, 2005.
-
(2005)
Training Feed-forward Neural Networks with Ant Colony Optimization: An Application to Pattern Classification, In: Hybrid Intelligent Systems
-
-
Blum, C.1
Socha, K.2
-
7
-
-
0033362601
-
Evolving artificial neural networks
-
Y. Xin, Evolving artificial neural networks, Proceedings of the IEEE 87 (1999) 1423-1447.
-
(1999)
Proceedings of the IEEE
, vol.87
, pp. 1423-1447
-
-
Xin, Y.1
-
8
-
-
0027574256
-
A review of evolutionary artificial neural networks
-
X. Yao, A review of evolutionary artificial neural networks, International Journal of Intelligent Systems 8 (1993) 539-567.
-
(1993)
International Journal of Intelligent Systems
, vol.8
, pp. 539-567
-
-
Yao, X.1
-
9
-
-
26844480248
-
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
-
DOI 10.1109/TSMCB.2005.847740
-
E. Cant?Paz, C. Kamath, An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems, IEEE Transactions on Systems, Man, and Cybernetics, Part-B 35 (2005) 915-927. (Pubitemid 41444577)
-
(2005)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.35
, Issue.5
, pp. 915-927
-
-
Cantu-Paz, E.1
Kamath, C.2
-
10
-
-
84881484236
-
A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: Bird mating optimizer
-
in press
-
A. Askarzadeh, A. Rezazadeh, A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: bird mating optimizer, International Journal of Energy Research, in press
-
International Journal of Energy Research
-
-
Askarzadeh, A.1
Rezazadeh, A.2
-
11
-
-
84881518144
-
-
in press
-
http://en.wikipedia.org/wiki/Bird. in press.
-
-
-
-
12
-
-
84881538826
-
-
in press
-
http://www.stanford.edu/group/stanfordbirds/text/essays/Monogamy.html. in press.
-
-
-
-
13
-
-
84881487804
-
-
in press
-
http://www.paulnoll.com/Oregon/Birds/courtship-systems.html. in press.
-
-
-
-
14
-
-
0242288903
-
Benchmarking least squares support vector machine classifiers
-
T. Van Gestel, Benchmarking least squares support vector machine classifiers, Machine Learning 54 (2004) 5-32.
-
(2004)
Machine Learning
, vol.54
, pp. 5-32
-
-
Van Gestel, T.1
-
15
-
-
12144288329
-
Is combining classifiers with stacking better than selecting the best one?
-
S. D?zeroski, B. Zenko, Is combining classifiers with stacking better than selecting the best one? Machine Learning 54 (2004) 255-273.
-
(2004)
Machine Learning
, vol.54
, pp. 255-273
-
-
Dzeroski, S.1
Zenko, B.2
-
16
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging
-
T.G. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization, Machine Learning 40 (2000) 139-157.
-
(2000)
Boosting, and Randomization, Machine Learning
, vol.40
, pp. 139-157
-
-
Dietterich, T.G.1
-
17
-
-
0037297883
-
Inducing oblique decision trees with evolutionary algorithms
-
E. Cantu-Paz, C. Kamath, Inducing oblique decision trees with evolutionary algorithms, IEEE Abbreviations for Transactions, Journals, Letters, and Magazines 7 (2003) 54-68.
-
(2003)
IEEE Abbreviations for Transactions Journals, Letters, and Magazines
, vol.7
, pp. 54-68
-
-
Cantu-Paz, E.1
Kamath, C.2
-
19
-
-
21044454599
-
Cooperative coevolution of artificial neural network ensembles for pattern classification
-
DOI 10.1109/TEVC.2005.844158
-
N. Garcia-Pedrajas, C. Hervas-Martinez, D. Ortiz-Boyer, Cooperative coevolution of artificial neural network ensembles for pattern classification, IEEE Abbreviations for Transactions, Journals, Letters, and Magazines 9 (2005) 271-302. (Pubitemid 40871133)
-
(2005)
IEEE Transactions on Evolutionary Computation
, vol.9
, Issue.3
, pp. 271-302
-
-
Garcia-Pedrajas, N.1
Hervas-Martinez, C.2
Ortiz-Boyer, D.3
-
20
-
-
0042525838
-
A constructive algorithm for training cooperative neural network ensembles
-
M. Islam, X. Yao, K. Murase, A constructive algorithm for training cooperative neural network ensembles, IEEE Transactions on Neural Networks 14 (2003) 820-834.
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, pp. 820-834
-
-
Islam, M.1
Yao, X.2
Murase, K.3
-
21
-
-
19344362899
-
Mutation-based genetic neural network
-
DOI 10.1109/TNN.2005.844858
-
P.P. Palmes, T. Hayasaka, S. Usui, Mutation-based genetic neural network, IEEE Transactions on Neural Networks 16 (2005) 587-600. (Pubitemid 40718005)
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.3
, pp. 587-600
-
-
Palmes, P.P.1
Hayasaka, T.2
Usui, S.3
-
22
-
-
79953669499
-
A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell
-
A. Askarzadeh, A. Rezazadeh, A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell, International Journal of Hydrogen Energy 36 (2011) 5047-5053.
-
(2011)
International Journal of Hydrogen Energy
, vol.36
, pp. 5047-5053
-
-
Askarzadeh, A.1
Rezazadeh, A.2
-
24
-
-
58549105309
-
Parameter identification for proton exchange membrane fuel cell model using particle swarm optimization
-
M. Ye, X. Wang, Y. Xu, Parameter identification for proton exchange membrane fuel cell model using particle swarm optimization, International Journal of Hydrogen Energy 34 (2009) 981-989.
-
(2009)
International Journal of Hydrogen Energy
, vol.34
, pp. 981-989
-
-
Ye, M.1
Wang, X.2
Xu, Y.3
-
25
-
-
33749510453
-
Unified mathematical modelling of steady-state and dynamic voltage-current characteristics for PEM fuel cells
-
DOI 10.1016/j.electacta.2006.07.011, PII S0013468606007419
-
X.D. Xue, et al., Unified mathematical modelling of steady-state and dynamic voltage-current characteristics for PEM fuel cells, Electrochimica Acta 52 (2006) 1135-1144. (Pubitemid 44528448)
-
(2006)
Electrochimica Acta
, vol.52
, Issue.3
, pp. 1135-1144
-
-
Xue, X.D.1
Cheng, K.W.E.2
Sutanto, D.3
-
26
-
-
33748426624
-
Modeling a PEMFC by a support vector machine
-
DOI 10.1016/j.jpowsour.2006.01.040, PII S0378775306000966
-
Z.-D. Zhong, X.-J. Zhu, G.-Y. Cao, Modeling a PEMFC by a support vector machine, Journal of Power Sources 160 (2006) 293-298. (Pubitemid 44344377)
-
(2006)
Journal of Power Sources
, vol.160
, Issue.1
, pp. 293-298
-
-
Zhong, Z.-D.1
Zhu, X.-J.2
Cao, G.-Y.3
-
27
-
-
79955648346
-
-
A. Rezazadeh, A. Askarzadeh, M. sedighizadeh, ANN-based PEMFC modeling by a new learning algorithm, The International Review on Modelling and Simulations 3 (2010) 187-193.
-
(2010)
ANN-based PEMFC Modeling by A New Learning Algorithm, the International Review on Modelling and Simulations
, vol.3
, pp. 187-193
-
-
Rezazadeh, A.1
Askarzadeh, A.2
Sedighizadeh, M.3
|