| 基于模糊神经网络的模式识别方法 |
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| 引用本文： | 张明路,王卫平,刘宇红,吴晓龙. 基于模糊神经网络的模式识别方法[J]. 河北工业大学学报, 2001, 30(4): 9-13 |
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| 作者姓名： | 张明路 王卫平 刘宇红 吴晓龙 |
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| 作者单位： | 1. 河北工业大学机械学院
2. 保定高级技工学院 |
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| 基金项目： | 天津市自然科学基金资助项目（003601211），河北省攻关计划资助项目（00547001D－18） |
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| 摘 要： | 讨论了3种模糊神经元和由其构成的模糊神经网络的基本原理及其学习和自适应机制，针对模糊模式识别问题，建立了一种基于BP学习算法的模糊神经网络模式识别系统，该系统兼有模糊逻辑控制和神经网络两种技术的优点，提高了模糊模式识别的准确性。
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| 关 键 词： | 模式识别 模糊逻辑 模糊神经网络 模糊神经元 原理 学习机制 自适应机制 |
| 文章编号： | 1007-23732001-04-0009-05 |
The Method of Model Recognition Based onthe Fuzzy Neural Networks |
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| ZHANG Ming-lu,WANG Wei-ping,LIU Yu-hong,WU Xiao-long,. The Method of Model Recognition Based onthe Fuzzy Neural Networks[J]. Journal of Hebei University of Technology, 2001, 30(4): 9-13 |
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| Authors: | ZHANG Ming-lu WANG Wei-ping LIU Yu-hong WU Xiao-long |
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| Abstract: | The basic composition and learning and self-adaptive principle of three types of fuzzy neural joints and the fuzzy neural networks composed by these.hay neural joints are analyzed in this paper. A new fuzzy neural network system based on BP learning algorithm for fuzzy model recognition is established. This recog- nition system has advantages both fuzzy logic and neural network and the recognition reliable are improved. |
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| Keywords: | model recognition fuzzy logic neural network fuzzy neural joints |
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