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Volumn 5271 LNAI, Issue , 2008, Pages 156-163

An evolutionary approach for tuning artificial neural network parameters

Author keywords

Architectures; Artificial neural network parameterization; Evolutionary algorithms; Genetic algorithms; Initial weights; Learning rules

Indexed keywords

ARCHITECTURE; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; PARAMETER ESTIMATION;

EID: 70350539341     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87656-4_20     Document Type: Conference Paper
Times cited : (6)

References (13)
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  • 4
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    • An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
    • Cantú-Paz, E., Kamath, C.: An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(5), 915-927 (2005)
    • (2005) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.35 , Issue.5 , pp. 915-927
    • Cantú-Paz, E.1    Kamath, C.2
  • 6
    • 24344471817 scopus 로고    scopus 로고
    • Biological engineering applications of feed-forward neural networks designed and parameterized by genetic algorithms
    • Ferentinos, K.P.: Biological engineering applications of feed-forward neural networks designed and parameterized by genetic algorithms. Neural Networks 18(7), 934-950 (2005)
    • (2005) Neural Networks , vol.18 , Issue.7 , pp. 934-950
    • Ferentinos, K.P.1
  • 10
    • 0034811555 scopus 로고    scopus 로고
    • A new algorithm to design compact two-hidden-layer artificial neural networks
    • Islam, M.M., Murase, K.: A new algorithm to design compact two-hidden-layer artificial neural networks. Neural Networks 14(9), 1265-1278 (2001)
    • (2001) Neural Networks , vol.14 , Issue.9 , pp. 1265-1278
    • Islam, M.M.1    Murase, K.2
  • 11
    • 1942454824 scopus 로고    scopus 로고
    • New training strategies for constructive neural networks with application to regression problems
    • Ma, L., Khorasani, K.: New training strategies for constructive neural networks with application to regression problems. Neural Networks 17(4), 589-609 (2004)
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    • Ma, L.1    Khorasani, K.2
  • 12
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    • University of California, Irvine, School of Information and Computer Sciences
    • Asuncion, A., Newman, D.: UCI machine learning repository, University of California, Irvine, School of Information and Computer Sciences (2007), http://mlearn.ics.uci.edu/MLRepository.html
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    • Asuncion, A.1    Newman, D.2
  • 13
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    • Evolving artificial neural networks
    • Yao, X.: Evolving artificial neural networks. Proceedings of the IEEE 87(9), 1423-1447 (1999)
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    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.