In this paper, an approach for resource constrained FMS scheduling is described, which integrates Hopfieldneuralnetwork 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。
2
The study of the feedback neuralnetwork, the analysis of the work principle of Hopfieldneuralnetwork 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。
3
With the use of the relation between the stability and energy function convergence of the Hopfieldneuralnetwork, an LDHNN-based receding-horizon (RH) control method is proposed.