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Volumn 8, Issue 3, 1996, Pages 491-499

Note on the Maxnet Dynamics

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EID: 0005907109     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/neco.1996.8.3.491     Document Type: Article
Times cited : (7)

References (11)
  • 1
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    • Circuit implementation of a peak detector neural network
    • Dempsey, G. L., and McVey, E. S. 1993. Circuit implementation of a peak detector neural network. IEEE Transact. Circuits Systems-II 40(9), 585-591.
    • (1993) IEEE Transact. Circuits Systems-II , vol.40 , Issue.9 , pp. 585-591
    • Dempsey, G.L.1    McVey, E.S.2
  • 2
    • 0026185550 scopus 로고
    • The convergence of hamming memory networks
    • Floreen, P. 1991. The convergence of hamming memory networks. IEEE Transact. Neural Networks 2(4), 449-457.
    • (1991) IEEE Transact. Neural Networks , vol.2 , Issue.4 , pp. 449-457
    • Floreen, P.1
  • 3
    • 0027259668 scopus 로고
    • An analytical framework for optimizing neural networks
    • Gee, A. H., et al. 1993. An analytical framework for optimizing neural networks. Neural Networks 6(1), 79-97.
    • (1993) Neural Networks , vol.6 , Issue.1 , pp. 79-97
    • Gee, A.H.1
  • 5
    • 0028426382 scopus 로고
    • Qualitative analysis of the parallel and asynchronous modes of the hamming network
    • Koutroumbas, K., and Kalouptsidis, N. 1994. Qualitative analysis of the parallel and asynchronous modes of the hamming network. IEEE Transact. Neural Networks 5(3), 380-391.
    • (1994) IEEE Transact. Neural Networks , vol.5 , Issue.3 , pp. 380-391
    • Koutroumbas, K.1    Kalouptsidis, N.2
  • 6
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippman, R. 1987. An introduction to computing with neural nets. IEEE ASSP Mag. 4, 4-22.
    • (1987) IEEE ASSP Mag. , vol.4 , pp. 4-22
    • Lippman, R.1
  • 8
    • 0025507872 scopus 로고
    • Winner-take-all circuit for neurocomputing applications
    • Perfetti, R. 1990. Winner-take-all circuit for neurocomputing applications. IEE Proc. Part G 137(5), 353-359.
    • (1990) IEE Proc. Part G , vol.137 , Issue.5 , pp. 353-359
    • Perfetti, R.1
  • 9
    • 0029207694 scopus 로고
    • A general mean-based iterative winner-take-all neural network
    • Yang, J., et al. 1995. A general mean-based iterative winner-take-all neural network. IEEE Transact. Neural Networks 6(1), 14-24.
    • (1995) IEEE Transact. Neural Networks , vol.6 , Issue.1 , pp. 14-24
    • Yang, J.1
  • 10
    • 0026832188 scopus 로고
    • Improved winner-take-all neural network
    • Yen, J.-C., and Chang, S. 1992. Improved winner-take-all neural network. Electronics Lett. 28(7), 662-664.
    • (1992) Electronics Lett. , vol.28 , Issue.7 , pp. 662-664
    • Yen, J.-C.1    Chang, S.2
  • 11
    • 0028494738 scopus 로고
    • A new winners-take-all architecture in artificial neural networks
    • Yen, J.-C., et al. 1994. A new winners-take-all architecture in artificial neural networks. IEEE Transact. Neural Networks 5(5), 838-843.
    • (1994) IEEE Transact. Neural Networks , vol.5 , Issue.5 , pp. 838-843
    • Yen, J.-C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.