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Volumn 4, Issue 1, 1996, Pages 17-27

An energy function for the random neural network

Author keywords

Energy function; Optimization problems; Random neural network

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; HEURISTIC METHODS; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; RANDOM PROCESSES;

EID: 0030234451     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1007/bf00454842     Document Type: Article
Times cited : (7)

References (9)
  • 1
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    • J. Hopfield and D. Tank. "Neural computation of decisions in optimization problem", Biological Cybernetics, Vol. 52, pp. 141-152, 1985.
    • (1985) Biological Cybernetics , vol.52 , pp. 141-152
    • Hopfield, J.1    Tank, D.2
  • 2
    • 0001373628 scopus 로고
    • Random neural networks with positive and negative signals and product form solution
    • E. Gelenbe. "Random neural networks with positive and negative signals and product form solution", Neural Computation, Vol. 1, No. 4, pp. 502-510, 1989.
    • (1989) Neural Computation , vol.1 , Issue.4 , pp. 502-510
    • Gelenbe, E.1
  • 3
    • 0000145931 scopus 로고
    • Stable random neural networks
    • E. Gelenbe. "Stable random neural networks", Neural Computation, Vol. 2, No. 2, pp. 239-247. 1990.
    • (1990) Neural Computation , vol.2 , Issue.2 , pp. 239-247
    • Gelenbe, E.1
  • 4
    • 0002761101 scopus 로고
    • Theory of the random neural network model
    • E. Gelenbe (ed) North-Holland
    • E. Gelenbe. "Theory of the random neural network model", in E. Gelenbe (ed) Neural Networks: Advances and Applications, North-Holland, pp. 1-20, 1991.
    • (1991) Neural Networks: Advances and Applications , pp. 1-20
    • Gelenbe, E.1
  • 5
    • 26444619712 scopus 로고
    • Application of the random neural network model to minimum graph covering
    • E. Gelenbe (ed) North Holland
    • E. Gelenbe and F. Batty. "Application of the random neural network model to minimum graph covering", in E. Gelenbe (ed) Neural Networks: Advances and Applications 2, North Holland: pp. 36-45, 1992.
    • (1992) Neural Networks: Advances and Applications , vol.2 , pp. 36-45
    • Gelenbe, E.1    Batty, F.2
  • 7
    • 0000428263 scopus 로고
    • Learning in the recurrent Random Neural Network
    • E. Gelenbe. "Learning in the recurrent Random Neural Network", Neural Computation, Vol. 5. No. 5, pp. 154-164, 1993.
    • (1993) Neural Computation , vol.5 , Issue.5 , pp. 154-164
    • Gelenbe, E.1
  • 8
    • 0010260725 scopus 로고
    • An approach for combinatorial optimization problem based on learning in the recurrent random neural network
    • International Neural Network Society: San Diego, CA, USA, July
    • J. Aguilar. "An approach for combinatorial optimization problem based on learning in the recurrent random neural network", Proceedings of the World Congress on Neural Networks, pp. 420-424, International Neural Network Society: San Diego, CA, USA, July 1994.
    • (1994) Proceedings of the World Congress on Neural Networks , pp. 420-424
    • Aguilar, J.1
  • 9
    • 0003112585 scopus 로고
    • Evolutionary Learning on Recurrent Random Neural Network
    • International Neural Network Society: Washington, DC, USA, July
    • J. Aguilar. "Evolutionary Learning on Recurrent Random Neural Network", Proceedings of the World Congress on Neural Networks, pp. 232-236, International Neural Network Society: Washington, DC, USA, July 1995.
    • (1995) Proceedings of the World Congress on Neural Networks , pp. 232-236
    • Aguilar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.