| 模糊系统与神经网络 |
| |
| 引用本文： | 张宏海,陈祝亚,李成忠.模糊系统与神经网络[J].安徽工业大学学报,2003,20(2):152-154. |
| |
| 作者姓名： | 张宏海 陈祝亚 李成忠 |
| |
| 作者单位： | [1]西南交通大学计算机与通信学院，成都市610031 [2]清华大学热能系能源仿真公司，北京100080 |
| |
| 摘 要： | 从知识处理的观点出发，模糊系统与神经网络可按知识表示与结构对应，推理与计算对应，知识获取与学习对应进行系统研究；从函数逼近的观点出发，两者可用广用函数逼近意义上等价来统一处理。本文正是从知识处理和函数逼近两个角度研究了模糊逻辑系统与神经网络相结合的可行性和现实性。
|
| 关 键 词： | 模糊系统 神经网络 模糊推理 模糊产生器 反模糊化器 知识表示 知识处理 函数逼近 |
| 文章编号： | 1671-7872(2003)02-0152-03 |
| 修稿时间： | 2002年9月24日 |
Fuzzy system and neural networks |
| |
| ZHANG Hong-hai,CHEN Zhu-ya,LI Cheng-zhong.Fuzzy system and neural networks[J].Journal of Anhui University of Technology,2003,20(2):152-154. |
| |
| Authors: | ZHANG Hong-hai CHEN Zhu-ya LI Cheng-zhong |
| |
| Affiliation: | ZHANG Hong-hai1,CHEN Zhu-ya2,LI Cheng-zhong3 |
| |
| Abstract: | Form the view of knowledge processing, fuzzy systems and neural net works can be systematically studied in the light of representation vs. structure , reasoning vs. computation, and acquisition vs. learning. From the view of func tion approximation,fuzzy systems and neural networks can be studied in view of e quivalence in the sence of universal function approximation. In this thesis, the probability and practicability of combining the fuzz logic systems with the neu ral networks are studied with the insight of the two views, namely, the view of knowledge processing and the view of function approximation. |
| |
| Keywords: | fuzzy reasoning fuzzy introduction anti-fuzzy introduction1 |
| 本文献已被 CNKI 维普 等数据库收录！ |
