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Biological Cybernetics
Volumn 76, Issue 4, 1997, Pages 251-255
A maximum neural network approach for N-queens problems
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EID: 0000055318     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004220050337     Document Type: Article
Times cited : (15)
References (11)
  • 2
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    • Funabiki N, Takefuji Y (1993) A neural network approach to topological via minimization problems. IEEE Trans Computer-Aided Design 12:770-779
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    • Funabiki, N.1    Takefuji, Y.2
  • 3
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    • An improved neural network for channel assignment problems in cellular mobile communication systems
    • Funabiki N, Nishikawa S (1995) An improved neural network for channel assignment problems in cellular mobile communication systems. IEICE Trans Commun E78-B:1187-1196
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    • Funabiki, N.1    Nishikawa, S.2
  • 4
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    • Neural computation of decisions in optimization problems
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    • Hopfield, J.J.1    Tank, D.W.2
  • 5
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    • A parallel improvement algorithm for the bipartite subgraph problem
    • Lee KC, Funabiki N, Takefuji Y (1992) A parallel improvement algorithm for the bipartite subgraph problem. IEEE Trans Neural Networks 3:139-145
    • (1992) IEEE Trans Neural Networks , vol.3 , pp. 139-145
    • Lee, K.C.1    Funabiki, N.2    Takefuji, Y.3
  • 6
    • 0001714390 scopus 로고
    • Solving the N-queens problem with a binary Hopfield-type network
    • Mandziuk J (1995) Solving the N-queens problem with a binary Hopfield-type network. Biol Cybern 72:439-445
    • (1995) Biol Cybern , vol.72 , pp. 439-445
    • Mandziuk, J.1
  • 7
    • 0000009720 scopus 로고
    • A neural network designed to solve the N-queens problem
    • Mandziuk J, Macukow B (1992) A neural network designed to solve the N-queens problem. Biol Cybern 66:375-379
    • (1992) Biol Cybern , vol.66 , pp. 375-379
    • Mandziuk, J.1    Macukow, B.2
  • 8
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    • Binary neural network with negative self-feedback and its application to N-queens problem
    • Ohta M, Ogihara A, Fukunaga K (1994) Binary neural network with negative self-feedback and its application to N-queens problem. IEICE Trans Inform Syst E77-D:459-465
    • (1994) IEICE Trans Inform Syst , vol.E77-D , pp. 459-465
    • Ohta, M.1    Ogihara, A.2    Fukunaga, K.3
  • 10
    • 0001663243 scopus 로고
    • An artificial hysteresis binary neuron: A model suppressing the oscillatory behaviors of neural dynamics
    • Takefuji Y, Lee KC (1991) An artificial hysteresis binary neuron: a model suppressing the oscillatory behaviors of neural dynamics. Biol Cybern 64:353-356
    • (1991) Biol Cybern , vol.64 , pp. 353-356
    • Takefuji, Y.1    Lee, K.C.2
  • 11
    • 0344194652 scopus 로고
    • An artificial maximum neural network: A winner-take-all neuron model forcing the state of the system in a solution domain
    • Takefuji Y, Lee KC, Aiso H (1992) An artificial maximum neural network: a winner-take-all neuron model forcing the state of the system in a solution domain. Biol Cybern 67:243-251
    • (1992) Biol Cybern , vol.67 , pp. 243-251
    • Takefuji, Y.1    Lee, K.C.2    Aiso, H.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.