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Volumn 43, Issue 1-4, 2002, Pages 219-237

Hopfield neural networks for optimization: Study of the different dynamics

Author keywords

Discrete and continuous dynamics; Energy function; High order Hopfield neural networks; Local minima escape algorithms; Optimization problem

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DIGITAL COMPUTERS; DYNAMICS; OPTIMIZATION;

EID: 0036138293     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00337-X     Document Type: Article
Times cited : (286)

References (22)
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    • An arbitrary order neural networks design and simulation environment
    • Master's Thesis, Departamento de Tecnología Electrónica, Universidad de Málaga, (in Spanish)
    • (1997)
    • Atencia, M.A.1
  • 3
    • 0003603813 scopus 로고
    • Computers and Intractability, A Guide to the Theory of NP-Completeness
    • W.H. Freeman and Company, New York
    • (1979)
    • Garey, M.1    Johnson, D.2
  • 9
    • 0007653087 scopus 로고    scopus 로고
    • Contributions of high order artificial neural networks to the design of autonomous systems
    • Ph.D. Thesis, Departamento de Tecnología Electrónica, Universidad de Málaga
    • (1997)
    • Joya, G.1
  • 10
    • 2042527872 scopus 로고
    • Application of high-order Hopfield neural networks to the solution of diophantine equations
    • Artificial Neural Networks. Lecture Notes on Computer Science, Vol. 540, Springer-Verlag, Berlin-Heidelberg
    • (1991)
    • Joya, G.1    Atencia, M.A.2    Sandoval, F.3
  • 14
    • 0025724128 scopus 로고
    • State evaluation functions and Lyapunov functions for neural networks
    • (1991) Neural Networks , vol.4 , pp. 505-510
    • Kobuchi, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.