摘要
首先介绍了基于期望输入／输出数据的模糊规则自动获取的若干实用方法（相平面法、树搜索法、神经网络法等）及其规则的细化，然后探讨了神经网络、模糊逻辑。
The current auto generation and refinement technique of fuzzy rules is surveied.Some advanced technique as the integration of neural networks,fuzzy logic and genetic algorithmis explored for the application of automated knowledge acquisition are discussed.The fuzzy logic,neural networks,and genetic algorithm are combined for automatic acquire a knowledge of specialist.
出处
《郑州轻工业学院学报》
1996年第4期74-79,共6页
Journal of Zhengzhou Institute of Light Industry（Natural Science）
基金
高等学校博士学科点专项科研基金
关键词
神经网络
输入
输出
处理
模糊规则
自生成
fuzzy logic
neural networks
input output processing
fuzzy rule auto generation
genetic algorithm
