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Volumn 61, Issue 1-4, 2004, Pages 429-437

An activation function adapting training algorithm for sigmoidal feedforward networks

Author keywords

Feedforward artificial neural networks; Self adaptation; Sigmoidal activation; Squashing function

Indexed keywords

ACTIVATION ENERGY; ALGORITHMS; BACKPROPAGATION; MATHEMATICAL MODELS; PERSONNEL TRAINING;

EID: 10244235219     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.04.001     Document Type: Article
Times cited : (75)

References (8)
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    • Chandra P. Singh Y. A case for the self adaptation of activation functions in FFANN's Neurocomputing 56 2003 447-454
    • (2003) Neurocomputing , vol.56 , pp. 447-454
    • Chandra, P.1    Singh, Y.2
  • 2
    • 0024861871 scopus 로고
    • Approximation by superposition of a sigmoidal function
    • Cybenko G. Approximation by superposition of a sigmoidal function Math. Control, Signal Systems 2 4 1989 303-314
    • (1989) Math. Control Signal Systems , vol.2 , Issue.4 , pp. 303-314
    • Cybenko, G.1
  • 3
    • 0024866495 scopus 로고
    • 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 1989 183-192
    • (1989) Neural Networks , vol.2 , Issue.3 , pp. 183-192
    • Funahashi, K.1
  • 4
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K. Stinchcombe M. White H. Multilayer feedforward networks are universal approximators Neural Networks 2 3 1989 359-366
    • (1989) Neural Networks , vol.2 , Issue.3 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 5
    • 0025627940 scopus 로고
    • Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
    • Hornik K. Stinchcombe M. White H. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks Neural Networks 3 4 1990 551-560
    • (1990) Neural Networks , vol.3 , Issue.4 , pp. 551-560
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 7
    • 0038648742 scopus 로고    scopus 로고
    • A class +1 sigmoidal activation functions for FFANNs
    • Singh Y. Chandra P. A class +1 sigmoidal activation functions for FFANNs J. Econ. Dyn. Control 28 1 2003 183-187
    • (2003) J. Econ. Dyn. Control , vol.28 , Issue.1 , pp. 183-187
    • Singh, Y.1    Chandra, P.2
  • 8
    • 0035024581 scopus 로고
    • Networks with trainable amplitude of activation functions
    • Trentin T. Networks with trainable amplitude of activation functions Neural Networks 14 1992 471-493
    • (1992) Neural Networks , vol.14 , pp. 471-493
    • Trentin, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.