首页> 外文会议>Spoken Language, 1996. ICSLP 96. Proceedings >Theoretical characterizations of possibilities and impossibilitiesof Hopfield neural networks in solving combinatorial optimizationproblems
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Theoretical characterizations of possibilities and impossibilitiesof Hopfield neural networks in solving combinatorial optimizationproblems

机译:Hopfield神经网络解决组合优化问题的可能性和不可能性的理论表征

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摘要

The asymptotical stability and instability conditions of thensolutions and nonsolutions are proved for corners of Hopfield neuralnhypercube in solving typical combinatorial optimization problems, i.e.,ntraveling salesman problem, N-queen problem and Hitchcock problem. Thesenconditions make the theoretical characterizations of many possibilitiesnand impossibilities of Hopfield neural networks in solving combinatorialnoptimization problems
机译:证明了Hopfield神经元超立方体在解决典型的组合优化问题(即旅行商问题,N皇后问题和Hitchcock问题)的拐角处的渐近稳定性和不稳定性条件。这些条件为解决组合优化问题中的Hopfield神经网络提供了许多可能性和不可能的理论表征

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