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Volumn , Issue , 2000, Pages 59-63

Evolution and design of distributed learning rules

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; NETWORK ARCHITECTURE; NEURAL NETWORKS;

EID: 34548078290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECNN.2000.886220     Document Type: Conference Paper
Times cited : (56)

References (16)
  • 1
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    • Computational analysis in cognitive neuroscience: In defence of biological implausibility
    • I.E. Dror and D.P. Gallogly. Computational analysis in cognitive neuroscience: In defence of biological implausibility. Psychonomic Bulletin & Review, 6(2):173-182, 1999.
    • (1999) Psychonomic Bulletin & Review , vol.6 , Issue.2 , pp. 173-182
    • Dror, I.E.1    Gallogly, D.P.2
  • 2
    • 0013000126 scopus 로고
    • The evolution of learning algorithms for artificial neural networks
    • J. Baxter. The evolution of learning algorithms for artificial neural networks. Complex Systems, 1992.
    • (1992) Complex Systems
    • Baxter, J.1
  • 4
    • 0001793307 scopus 로고
    • The evolution of learning: An experimentation in genetic connectionism
    • San Mateo, CA: Morgan Kaufmann Publishers
    • D. Chalmers. The evolution of learning: An experimentation in genetic connectionism. In Connectionists models: Proceedings of the 1990 summer school, pages 81-90. San Mateo, CA: Morgan Kaufmann Publishers, 1990.
    • (1990) Connectionists Models: Proceedings of the 1990 Summer School , pp. 81-90
    • Chalmers, D.1
  • 5
    • 0025735983 scopus 로고
    • A more biological plausible learning rule for neural networks
    • May
    • P. Mazzoni, R.A. Andersen, and M.I. Jordan. A more biological plausible learning rule for neural networks. Proc. Natl. Acad. Sci. USA, 88:4433-4437, May 1991.
    • (1991) Proc. Natl. Acad. Sci. USA , vol.88 , pp. 4433-4437
    • Mazzoni, P.1    Andersen, R.A.2    Jordan, M.I.3
  • 6
    • 0015667648 scopus 로고
    • Punish/reward: Learning with a critic in adaptive threshold systems
    • B. Widrow, N.K. Gupta, and S. Maitra. Punish/reward: Learning with a critic in adaptive threshold systems. IEEE Trans. Syst. Man Cybern., 4:455-465, 1973.
    • (1973) IEEE Trans. Syst. Man Cybern. , vol.4 , pp. 455-465
    • Widrow, B.1    Gupta, N.K.2    Maitra, S.3
  • 7
    • 84927461265 scopus 로고
    • Pattern recognizing stochastic learning automata
    • A.G. Barto and P. Anandan. Pattern recognizing stochastic learning automata. IEEE Trans. Syst. Man Cybern., 4:360-375, 1985.
    • (1985) IEEE Trans. Syst. Man Cybern. , vol.4 , pp. 360-375
    • Barto, A.G.1    Anandan, P.2
  • 9
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • K. Funahashi. On the approximate realization of continuous mappings by neural networks. Neural Networks, 2:183-192, 1989.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 10
    • 0024880831 scopus 로고
    • Multilayer feedforward network are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward network are universal approximators. Neural Networks, 2:359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 11
    • 0024861871 scopus 로고
    • Approximation by superposition of a sigmoid function
    • G. Cybenko. Approximation by superposition of a sigmoid function. Mathematics of Control, Signal and Systems, 2:303-314, 1989.
    • (1989) Mathematics of Control, Signal and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 14
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • X. Yao. Evolving artificial neural networks. Proceedings of the IEEE, 87(9):1423-1447, 1999.
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.