首页 | 官方网站   微博 | 高级检索  
     

自适应神经模糊推理系统建模研究
引用本文:鲁斌 何华灿. 自适应神经模糊推理系统建模研究[J]. 计算机科学, 2003, 30(10): 40-44
作者姓名:鲁斌 何华灿
作者单位:西北工业大学计算机科学与工程系,西安,710072
基金项目:国家教委博士学科点专项科学基金(98069923)
摘    要:With rapid development of the fuzzy control application field, the existing system for fuzzy inferring modeling cannot more and more suit the requirements of fuzzy control. About how to apply the theories of fuzzy control to practice rapidly and conveniently, this paper presents a reasonable and practical method, which supports all sorts of fuzzy inferring system of MAMDANI and SUGENO to be modeled not only by tuning references of membership functions, but also by tuning fuzzy inferring structure. The modeling instance shows that it's practical and effective.

关 键 词:模糊控制 模糊控制器 自适应神经模糊推理系统 建模 神经网络 隶属函数

Research on Modeling with Adaptive Neuro-Fuzzy Inference System
LU Bin HE Hua-Can. Research on Modeling with Adaptive Neuro-Fuzzy Inference System[J]. Computer Science, 2003, 30(10): 40-44
Authors:LU Bin HE Hua-Can
Abstract:With rapid development of the fuzzy control application field, the existing system for fuzzy inferring modeling cannot more and more suit the requirements of fuzzy control. About how to apply the theories of fuzzy control to practice rapidly and conveniently, this paper presents a reasonable and practical method, which supports all sorts of fuzzy inferring system of MAMDANI and SUGENO to be modeled not only by tuning references of membership functions, but also by tuning fuzzy inferring structure. The modeling instance shows that it's practical and effective.
Keywords:Universal logics    Fuzzy control   Modeling  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号