| 用于故障模式识别的自适应模糊训练BP网络 |
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| 引用本文： | 刘彬,谢平. 用于故障模式识别的自适应模糊训练BP网络[J]. 燕山大学学报, 2000, 24(4): 326-329 |
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| 作者姓名： | 刘彬 谢平 |
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| 作者单位： | 燕山大学电气工程学院,秦皇岛,066004 |
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| 基金项目： | 河北省教委科研资助!2000218 |
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| 摘 要： | 针对ＢＰ算法固有的收敛速度慢和局部极小等问题，在对已有ＢＰ改进算法进行研究的基础上，提出了用于在线故障模式识别的自适应模糊加速训练算法，可在网络学习过程中，通过模糊推理，对网络拓扑结构、学习因子、惯性因子及激励函数进行自适应调整，实例验证表明该算法具有收敛速度快、不易陷入局部极小、网络综合性能好等特点。
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| 关 键 词： | 邦联模式识别 BP网络 模糊加速训练 自适应调整 |
| 修稿时间： | 2000-08-01 |
The Adaptive Fuzzy Training BP Neural Network for Fault Pattern Recognition |
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| Liu Bin,Xie Ping. The Adaptive Fuzzy Training BP Neural Network for Fault Pattern Recognition[J]. Journal of Yanshan University, 2000, 24(4): 326-329 |
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| Authors: | Liu Bin Xie Ping |
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| Affiliation: | Liu Bin,Xie Ping(The College of Electrical Engineering, Yanshan Univcrsiry, Qinhuangdao 066004) |
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| Abstract: | It was found that standard BP algorithm convergesslowly and has local minimum, and some improved BP algo-rithms have their limitations. In this paper, a adaptive fuzzyaccelerating training network used in fault pattern recognitionis proposed which can adaptively adjust the sttucture of net-work, learning rate, momentum coefficient and activationfunction in the training process by fuzzy controller. The simu-lation result verifies it has better performance than normal al-gorithms. |
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| Keywords: | fault pattern recognition BP neural network fuzzy accelerate training adaptive adjusting |
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