| 基于BP算法的模糊神经网络研究 |
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| 引用本文： | 李斌.基于BP算法的模糊神经网络研究[J].上海航天,1995,12(4):8-12. |
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| 作者姓名： | 李斌 |
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| 作者单位： | 上海航天技术研究院第八０九研究所 |
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| 摘 要： | 提出了一种基于模糊集合与前馈神经网络结合的神经网络。这种模糊神经网络（ＦＮＮ）在处理模糊特征时，能较好地反映出输入值和输出值的隶属度关系。应用经典的ＢＰ算法对网络进行训练，为了加快网络的学习过程，我们介绍了一种调整权值和阈值的学习方法，并且采用了Ｃ语言编制软件，实验结果表明，ＦＮＮ技术是一种新颖、有效的方法，能促进智能神经网络的发展。
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| 关 键 词： | 模糊集 隶属函数 BP算法 模糊神经网络 |
FUZZY NEURAL NETWORK BASED ON BP AIGORITHM |
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| Li Bin.FUZZY NEURAL NETWORK BASED ON BP AIGORITHM[J].Aerospace Shanghai,1995,12(4):8-12. |
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| Authors: | Li Bin |
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| Institution: | No.809 Institute of Shanghai Academy of Spaceflight Technology |
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| Abstract: | model of fuzzy neural network(FNN)based on fuzzy sets and feed forward neUral network is presented.The FNN can describe a relationship of value of the membership function of input and output data. A cias-'sic BP algorithm is used. In order to accelerate learning process,a method is introduced to adjust weights and thresholds,also a software is programmed in C language. Experiments and results demonstrate that FNN technique is a novel and potetially powerful approach toward intelligent neural network. |
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| Keywords: | Fuzzy sets Membership function BP algorithm Fuzzy neural network |
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