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Volumn 19, Issue 5, 2007, Pages 1422-1435

A new backpropagation learning algorithm for layered neural networks with nondifferentiable units

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; INFORMATION PROCESSING; LEARNING; NERVE CELL NETWORK; PHYSIOLOGY;

EID: 34247887369     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.5.1422     Document Type: Article
Times cited : (6)

References (11)
  • 2
    • 0024137490 scopus 로고
    • Increased rates of convergence through learning rate adoption
    • Jacobs, R. (1988). Increased rates of convergence through learning rate adoption. Neural Networks, 1, 295-307.
    • (1988) Neural Networks , vol.1 , pp. 295-307
    • Jacobs, R.1
  • 6
    • 0022471098 scopus 로고
    • Learning representation by back-propagation errors
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representation by back-propagation errors. Nature, 323, 533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 11
    • 0000003489 scopus 로고
    • Learning finite state machines with self-clustering networks
    • Zeng, Z., Goodman, R. M., & Smyth, P. (1993). Learning finite state machines with self-clustering networks. Neural Computation, 5, 976-990.
    • (1993) Neural Computation , vol.5 , pp. 976-990
    • Zeng, Z.1    Goodman, R.M.2    Smyth, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.