simulated annealing neural network 模拟退火神经网络
Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
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。
In this paper, We mainly do researches on using chaotic neural network based on simulated annealing (CSAN) to solve TSP.
本文主要研究混沌模拟退火神经网络(CSAN)在求解tsp中的应用。
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