| 一种用模糊－神经技术建造专家系统的方法 |
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| 引用本文： | 王仕军,王树林.一种用模糊－神经技术建造专家系统的方法[J].计算机研究与发展,1994(5). |
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| 作者姓名： | 王仕军 王树林 |
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| 作者单位： | 中国科学院计算技术研究所，国家智能计算机研究开发中心 |
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| 摘 要： | 本文提出了一种用模糊－神经技术建造专家系统的方法（ＦＮＴ方法）。从领域专家处获取的知识是以模糊规则和隶属函数的形式表示的。根据本文提出的方法，首先将模糊规则和隶属函数用神经网络表示出来（导入）；生成的神经网络用于实现模糊推理，然后利用修改的反传算法训练神经网络，从而提高系统的精度，修改隶属函数，求精模糊规则；最后从神经网络中提取隶属函数和模糊规则（导出），帮助解释神经网络的内部表示和操作。利用本文所提出的方法建造的系统可实现快速的无匹配模糊推理，并具有较强的学习能力。
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| 关 键 词： | 反传算法，神经网络，模糊推理，资料解释 |
A Method of Building Expert Systems With Fuzzy-Neural Technology |
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| Wang Shijun and Wang ShulinNational Research Center for Intelligent Computing Systems.A Method of Building Expert Systems With Fuzzy-Neural Technology[J].Journal of Computer Research and Development,1994(5). |
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| Authors: | Wang Shijun and Wang ShulinNational Research Center for Intelligent Computing Systems |
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| Affiliation: | Wang Shijun and Wang ShulinNational Research Center for Intelligent Computing Systems,Institute ofComputing Technology,Academia Sinica,Beijing,100080 |
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| Abstract: | This paper presents a method of building expert systems with fuzzy-neural technology'(FNT method). The domain knowledge is represented by fuzzy rules and membership functions. WithFNT method, these fuzzy rules and membership functions are derived into a layered neural networkwhichs is then trained by back-propagation algorithm to modify the membership functions and refinefoe fuzzy rules. Finally, the updated fuzzy rules and membership functions are derived out from theneural network to interpret intern31 representation and operations of the neural network. The expertsystems thus built can implement fast inference without rule matching process and have the learningability. |
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| Keywords: | back propagation algorithm neural network fuzzy inference data interpretation |
| 本文献已被 CNKI 等数据库收录！ |
