| 引用本文: | 张 骏,敬忠良,杨益军,戴冠中.随机模糊神经网络的参数学习算法(英文)[J].控制理论与应用,2001,18(6):857~860.[点击复制] |
| ZHANG Jun,JING Zhong-liang,YANG Yi-jun,DAI Guan-zhong.A Parameter Learning Method for Stochastic Fuzzy Neural Network[J].Control Theory and Technology,2001,18(6):857~860.[点击复制] |
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| 随机模糊神经网络的参数学习算法(英文) |
| A Parameter Learning Method for Stochastic Fuzzy Neural Network |
| 摘要点击 1701 全文点击 1163 投稿时间：1999-05-28 修订日期：2001-03-09 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.6.010 |
| 2001,18(6):857-860 |
| 中文关键词 随机模糊逻辑系统 神经网络 参数学习方法 |
| 英文关键词 stochastic fuzzy logic system neural network parameter learning method |
| 基金项目 |
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| 中文摘要 |
| 在输入和输出信号均有噪声污染的情况下, 提出随机模糊逻辑神经网络系统及其参数学习算法, 给出了参数学习公式; 仿真计算表明本文所提出的算法的有效性, 它明显优于没有考虑噪声的模糊逻辑神经网络系统. |
| 英文摘要 |
| A stochastic fuzzy logic system and its neural network parameter learning method are developed for the case of noise pollution both in input and output signals. The corresponding parameter learning formulas are also presented. Simulation results indicate that the parameter learning method proposed in this paper is evidently superior to the fuzzy logic neural network methods that do not take noise pollution into consideration. |
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