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Critical analysis of applying Hopfield neural net model to optimization problems

机译:将Hopfield神经网络模型应用于优化问题的关键分析

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The authors present a rigorous matrix-based analysis of the Hopfield model in order to understand the fundamental characteristics of the model, its strengths, and its weaknesses. They formally show why the results obtained by applying the Hopfield model to most NP-complete problems are in general unsatisfactory. They also indicate that promising results are achieved randomly. Possible amendments and future research directions are discussed.
机译:作者对Hopfield模型进行了严格的基于矩阵的分析,以了解该模型的基本特征,优点和缺点。他们正式表明了为什么将Hopfield模型应用于大多数NP完全问题所获得的结果通常不能令人满意。他们还表明,随机取得了可喜的结果。讨论了可能的修正和未来的研究方向。

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