摘要
简要回顾了示例学习的基本知识 ,并在此基础上 ,针对基本模糊控制器依赖人为经验的局限性 ,提出了一种基于示例学习的模糊控制器并给出了其设计原理。这种设计方法明显提高了控制器的自学习能力 。
After the learning from examples is briefly reviewed. A kind of fuzzy controller based on the learning from examples is proposed,which is aimed at the limitations of dependence on personal experience of basic fuzzy controllers.Then the designing fundamentals are given.The new designing method remarkably improves the controller capacity of self_learning,which will further improve the performance of fuzzy controllers.
出处
《河北大学学报（自然科学版）》
CAS
2000年第2期116-121,共6页
Journal of Hebei University(Natural Science Edition)
基金
河北省科委博士基金项目!(97543306D)
河北省自然科学基金项目!(698139)
关键词
示例学习
模糊控制器
近似匹配
机器学习
learning from examples
fuzzy controllers
approximate matching
