In this paper, an approach for resource constrained FMS scheduling is described, which integrates Hopfield neural network and simulated annealing algorithm.

提出利用神经网络和模拟退火技术来求解有约束的FMS资源调度问题的一种新方法。

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The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .

对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。

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With the use of the relation between the stability and energy function convergence of the Hopfield neural network, an LDHNN-based receding-horizon (RH) control method is proposed.

利用该网络稳定性与其能量函数收敛特性的关系，提出了基于LDHNN的移动域控制方法。

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With the use of the relation between the stability and energy function convergence of the Hopfield neural network, an LDHNN-based receding-horizon (RH) control method is proposed.

利用该网络稳定性与其能量函数收敛特性的关系，提出了基于LDHNN的移动域控制方法。

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