| 模糊优选神经网络多目标决策理论 |
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| 引用本文： | 陈守煜. 模糊优选神经网络多目标决策理论[J]. 大连理工大学学报, 1997, 37(6): 693-698 |
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| 作者姓名： | 陈守煜 |
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| 作者单位： | 大连理工大学土木建筑学院 |
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| 摘 要： | 把笔者建立的模糊优选理论与神经网络理论结合起来，提出确定网络拓扑结构：隐含层数，隐含导节点数与节点激励函数的合理模式，提出模糊优选神经网络权重调整ＢＰ模型；且网络有良好的学习功能。神经元激励函数具有明确的物理意义。
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| 关 键 词： | 神经网络 多目标规划 模糊优选 多目标决策 |
Multiobjective decision making theory and application of neural network with fuzzy optimum selection |
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| Chen Shouyu. Multiobjective decision making theory and application of neural network with fuzzy optimum selection[J]. Journal of Dalian University of Technology, 1997, 37(6): 693-698 |
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| Authors: | Chen Shouyu |
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| Abstract: | Combined with the fuzzy optimum selection theory proposed by the author with the neural network theory, this paper provides a rational pattern of determining the topologic structure of network: number of hidden layers, number of nodes in hidden layer and stimulation function of nodes. It also provides a weight adjusted BP model of the neural network with the fuzzy optimum selection. The capacity of the proposed network is good and the physics of the stimulation function of neural cells is also definite. To some extent, this paper develops the theory of neural network. |
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| Keywords: | neural networks multiple objective programming/fuzzy optimum selection topologic structure of network stimulation function adjustment of weights |
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