-
1
-
-
53849126165
-
Neural networks and statistical techniques: A review of applications
-
Paliwal, M., Kumar, U.A.: Neural networks and statistical techniques: A review of applications. Expert Systems with Applications 36(1), 2–17 (2009)
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.1
, pp. 2-17
-
-
Paliwal, M.1
Kumar, U.A.2
-
3
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
Funahashi, K.: On the approximate realization of continuous mappings by neural networks. Neural Networks 2(3), 183–192 (1989)
-
(1989)
Neural Networks
, vol.2
, Issue.3
, pp. 183-192
-
-
Funahashi, K.1
-
4
-
-
0003574105
-
Neural networks for modeling and control of dynamic systems
-
Springer, London
-
Norgaard, M.R.O., Poulsen, N.K., Hansen, L.K.: Neural networks for modeling and control of dynamic systems. In: A Practitioner’s Handbook. Springer, London (2000)
-
(2000)
A Practitioner’s Handbook
-
-
Norgaard, M.R.O.1
Poulsen, N.K.2
Hansen, L.K.3
-
5
-
-
77957899139
-
Clustered-hybrid multilayer perceptron network for pattern recognition application
-
Mat Isa, N.: Clustered-hybrid multilayer perceptron network for pattern recognition application. Applied Soft Computing 11(1), 1457–1466 (2011)
-
(2011)
Applied Soft Computing
, vol.11
, Issue.1
, pp. 1457-1466
-
-
Mat Isa, N.1
-
6
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
Homik, K., Stinchcombe, M., White, H.: Multilayer feedforward networks are universal approximators. Neural Networks 2, 359–366 (1989)
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Homik, K.1
Stinchcombe, M.2
White, H.3
-
7
-
-
0001934378
-
Approximating polynomial functions by feedforward artificial neural network: Capacity analysis and design
-
Malakooti, B., Zhou, Y.: Approximating polynomial functions by feedforward artificial neural network: capacity analysis and design. Applied Mathematics and Computation 90(1), 27–52 (1998)
-
(1998)
Applied Mathematics and Computation
, vol.90
, Issue.1
, pp. 27-52
-
-
Malakooti, B.1
Zhou, Y.2
-
9
-
-
0028543366
-
Training feedforward networks with the Marquardt algorithm
-
Hagar, M.T., Menhaj, M.B.: Training feedforward networks with the Marquardt algorithm. IEEE Transactions Neural Networks 5(6), 989–993 (1994)
-
(1994)
IEEE Transactions Neural Networks
, vol.5
, Issue.6
, pp. 989-993
-
-
Hagar, M.T.1
Menhaj, M.B.2
-
10
-
-
0002603370
-
An adaptive conjugate gradient learning algorithm for efficient training of neural networks
-
Adeli, H., Hung, S.L.: An adaptive conjugate gradient learning algorithm for efficient training of neural networks. Applied Mathematics and Computation 62(1), 81–102 (1994)
-
(1994)
Applied Mathematics and Computation
, vol.62
, Issue.1
, pp. 81-102
-
-
Adeli, H.1
Hung, S.L.2
-
11
-
-
67349220042
-
An online gradient method with momentum for two-layer feedforward neural networks
-
Zhang, N.: An online gradient method with momentum for two-layer feedforward neural networks. Applied Mathematics and Computation 212(2), 488–498 (2009)
-
(2009)
Applied Mathematics and Computation
, vol.212
, Issue.2
, pp. 488-498
-
-
Zhang, N.1
-
12
-
-
0000195251
-
Comparing backpropagation with a genetic algorithm for neural network training
-
Gupta, J.N.D., Sexton, R.S.: Comparing backpropagation with a genetic algorithm for neural network training. Omega 27(6), 679–684 (1999)
-
(1999)
Omega
, vol.27
, Issue.6
, pp. 679-684
-
-
Gupta, J.N.D.1
Sexton, R.S.2
-
13
-
-
84862858496
-
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
-
Mirjalili, S.A., Mohd Hashim, S.Z., Sardroudi, H.M.: Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm. Applied Mathematics and Computation 218(22), 11125–11137 (2012)
-
(2012)
Applied Mathematics and Computation
, vol.218
, Issue.22
, pp. 11125-11137
-
-
Mirjalili, S.A.1
Mohd Hashim, S.Z.2
Sardroudi, H.M.3
-
15
-
-
33847379879
-
A hybrid particle swarm optimization back-propagation algorithm for feedforward neural network training
-
Zhang, J.R., Zhang, J., Lock, T.M., Lyu, M.R.: A hybrid particle swarm optimization back-propagation algorithm for feedforward neural network training. Applied Mathematics and Computation 185(2), 1026–1037 (2007)
-
(2007)
Applied Mathematics and Computation
, vol.185
, Issue.2
, pp. 1026-1037
-
-
Zhang, J.R.1
Zhang, J.2
Lock, T.M.3
Lyu, M.R.4
-
18
-
-
0030082551
-
Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems
-
Dorigo, M., Maniezzo, V., Golomi, A.: Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics 26(1), 29–41 (1996)
-
(1996)
Man, and Cybernetics
, vol.26
, Issue.1
, pp. 29-41
-
-
Dorigo, M.1
Maniezzo, V.2
Golomi, A.3
-
19
-
-
71749096569
-
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
-
Kiranyaz, S., Ince, T., Yildirim, A., Gabbouj, M.: Evolutionary artificial neural networks by multi-dimensional particle swarm optimization. Neural Networks 22(10), 1448–1462 (2009)
-
(2009)
Neural Networks
, vol.22
, Issue.10
, pp. 1448-1462
-
-
Kiranyaz, S.1
Ince, T.2
Yildirim, A.3
Gabbouj, M.4
-
20
-
-
64549119687
-
GSA: A Gravitational Search Algorithm
-
Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: A Gravitational Search Algorithm. Information Sciences 179(13), 2232–2248 (2009)
-
(2009)
Information Sciences
, vol.179
, Issue.13
, pp. 2232-2248
-
-
Rashedi, E.1
Nezamabadi-Pour, H.2
Saryazdi, S.3
-
21
-
-
84946906636
-
Why’GSA: A gravitational search algorithm’ is not genuinely based on the law of gravity
-
Gauci, M., Dodd, T.J., Grob, R.: Why’GSA: a gravitational search algorithm’ is not genuinely based on the law of gravity. Natural Computing 11(4), 719–720 (2012)
-
(2012)
Natural Computing
, vol.11
, Issue.4
, pp. 719-720
-
-
Gauci, M.1
Dodd, T.J.2
Grob, R.3
-
22
-
-
79956208287
-
Gravitational Search Algorithm for Economic Dispatch with Valve-Point Effects
-
Duman, S., Guvenc, U., Yorukeren, N.: Gravitational Search Algorithm for Economic Dispatch with Valve-Point Effects. International Review of Electrical Engineering 5, 2890–2895 (2010)
-
(2010)
International Review of Electrical Engineering
, vol.5
, pp. 2890-2895
-
-
Duman, S.1
Guvenc, U.2
Yorukeren, N.3
-
23
-
-
84876988608
-
A survey on optimization metaheuristics
-
Boussai D I., Lepagnot, J., Siarry, P.: A survey on optimization metaheuristics. Information Sciences 237, 82–117 (2013)
-
(2013)
Information Sciences
, vol.237
, pp. 82-117
-
-
Boussai, D.I.1
Lepagnot, J.2
Siarry, P.3
-
24
-
-
0036437286
-
Simple Explanation of the No-Free-Lunch Theorem and Its Implications
-
Ho, Y.C., Pepyne, D.L.: Simple Explanation of the No-Free-Lunch Theorem and Its Implications. Journal of Optimization Theory and Applications 115(3), 549–570 (2002)
-
(2002)
Journal of Optimization Theory and Applications
, vol.115
, Issue.3
, pp. 549-570
-
-
Ho, Y.C.1
Pepyne, D.L.2
-
26
-
-
84885640902
-
A new optimization algorithm for single hidden layer feedforward neural networks
-
Li, L.K., Shao, S., Yiu, K.F.C.: A new optimization algorithm for single hidden layer feedforward neural networks. Applied Soft Computing 13(5), 2857–2862 (2013)
-
(2013)
Applied Soft Computing
, vol.13
, Issue.5
, pp. 2857-2862
-
-
Li, L.K.1
Shao, S.2
Yiu, K.F.C.3
-
27
-
-
0000782329
-
Overfitting in neural networks: Backpropagation
-
USA
-
Caruana, R., Lawrence, S., Giles, C.L.: Overfitting in neural networks: backpropagation. In: Proceedings of 13th Conference on Advances Neural Information Processing Systems, USA, pp. 402–408 (2001)
-
(2001)
Proceedings of 13th Conference on Advances Neural Information Processing Systems
, pp. 402-408
-
-
Caruana, R.1
Lawrence, S.2
Giles, C.L.3
|