| 加权模糊逻辑及其网络实现 |
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| 引用本文： | 李曼苹,邱锡钧.加权模糊逻辑及其网络实现[J].系统工程与电子技术,1997(5). |
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| 作者姓名： | 李曼苹 邱锡钧 |
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| 作者单位： | 上海大学嘉定校区物理系!201800 |
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| 摘 要： | 本文从已有的加权模糊逻辑模型出发,分析了它的若干约束条件,并依之对模型进行改进,使其趋于合理和易于网络实现。通过概率算子为例,应用于BP网络。讨论了它的稳定性及其物理意义,这种逻辑模型与神经网络的结合,在很多情况下是行之有效的。
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| 关 键 词： | 算法 网络 模糊数学 |
Weighted Fuzzy Logic and Its Application in Neural Networks |
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| Li Manping and Qiu Xijun.Weighted Fuzzy Logic and Its Application in Neural Networks[J].System Engineering and Electronics,1997(5). |
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| Authors: | Li Manping and Qiu Xijun |
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| Institution: | Li Manping and Qiu Xijun Department of Physics,Jiading Branch of Shanghai University,201800 |
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| Abstract: | Based on the old fuzzy logic models, this paper analyzes some constraints that weighted logic must satisfy and improve the models so as to make the models more reasonable and easily applied in neural neworks. Then, by the example of probability applied in BP networks, discuss its steadiness and physical value. It may be useful to combine between logic and neural net-works in many conditions. |
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| Keywords: | Fuzzy logic Neural networks Algorithm weight BP learning algorithm |
| 本文献已被 CNKI 等数据库收录！ |
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