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Volumn , Issue , 2007, Pages

An improved transiently chaotic neural network with multiple chaotic dynamics for maximum clique problem

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL OPTIMIZATION; EMBEDDED SYSTEMS; NEURAL NETWORKS;

EID: 39049143412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2007.152     Document Type: Conference Paper
Times cited : (3)

References (9)
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    • Approximately solving maximum clique using neural networks and related heuristics
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    • A. Jagota, L. Sanchis, and R. Ganesan, "Approximately solving maximum clique using neural networks and related heuristics," In Cliques, Coloring, and Satisfiability, D. Johnson and M. Trick, Eds. Providence, RI: American Mathematical Society, 1996, pp. 169-204.
    • (1996) Cliques, Coloring, and Satisfiability , pp. 169-204
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    • An artificial maximum neural network: A winner-take-all neuron model forcing the state of the system in a solution domain
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  • 6
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    • Maximum neural network with nonlinear self-feedback for maximum clique problem
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  • 7
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    • Comparisons of Energy-Descent Optimization Algorithms for Maximum Clique Problems
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    • (1996) IEICE Trans. Fundamentals , vol.E79-A , Issue.4 , pp. 452-460
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.