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基于人工神经网络的多目标动态规划

Multiobjective dynamic programming based on artificial neural network
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摘要 利用权重系数法来求解多目标动态规划,并在求解的过程中,引入人工神经网络与专家系统,实现对模糊的产生式规则库的学习和推广,从而可以随时根据决策者的意愿合理决定权重系数,完成多目标动态的交互式决策过程. The multiobjective dynamic programming is solved by using weighted method, in which the artificial neural network and expert system are introduced to realize the studying and generalization for fuzzy rule library. Then the weight coefficients can be determined rationally according to the willing of policymaker whenever necessary, and the multiobjective dynamic mutual decision procedure can be fulfilled.
出处 《武汉水利电力大学学报》 CSCD 1999年第6期1-5,共5页 Engineering Journal of Wuhan University
关键词 权重法 人工神经 专家系统 模糊规则库 weighted method artificial neural network expert system fuzzy rule library
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