| 基于模糊神经网络的产生式规则表示方法 |
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| 引用本文： | 唐福顺,简荣军,贺力伟. 基于模糊神经网络的产生式规则表示方法[J]. 邵阳学院学报(自然科学版), 2008, 5(3): 67-71 |
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| 作者姓名： | 唐福顺 简荣军 贺力伟 |
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| 作者单位： | 湖南邵阳电业局,湖南,邵阳422000 |
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| 摘 要： | 以模糊推理为依据、以神经网络为手段阐述了产生式规则的模糊神经网络表示方法，设计了FNNKK网络来表示各类产生式规则知识，最后以实例论证了这种方法的可行性。
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| 关 键 词： | 模糊集 BP网络 产生式规则 知识表示 |
Representation of Production Rules Based on Fuzzy Set & Neural network |
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| TANG Fu-shun,JIAN Rong-jun,HE Li-wei. Representation of Production Rules Based on Fuzzy Set & Neural network[J]. Journal of Shaoyang University(Natural Science Edition), 2008, 5(3): 67-71 |
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| Authors: | TANG Fu-shun JIAN Rong-jun HE Li-wei |
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| Affiliation: | (Shaoyang Electric Power Administration Shaoyang 422000) |
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| Abstract: | In the thesis, Neuron-fuzzy Representation of Production Rules is developed by taking advantage of Neural network and fuzzy set theory, and NFRPR （Neuron-Fuzzy Representation of Production Rule） is designed for Representation of all Production Rules.Finally,an example has been used to prove NFRPR＇s ability. |
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| Keywords: | Fuzzy Set BP Network Production Rules Representation of Knowledge |
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