| 基于模糊神经网络的产生式规则表示方法 |
| |
| 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. |
| |
| 作者姓名： | 唐福顺 简荣军 贺力伟 |
| |
| 作者单位： | 湖南邵阳电业局,湖南,邵阳422000 |
| |
| 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。
|
| 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 |
| |
| TANG Fu-shun,JIAN Rong-jun,HE Li-wei.Representation of Production Rules Based on Fuzzy Set & Neural network[J].Journal of Shaoyang University:Science and Technology,2008,5(3):67-71. |
| |
| Authors: | TANG Fu-shun JIAN Rong-jun HE Li-wei |
| |
| Institution: | (Shaoyang Electric Power Administration Shaoyang 422000) |
| |
| 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. |
| |
| Keywords: | Fuzzy Set BP Network Production Rules Representation of Knowledge |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
