作　　者： ; ;

机构地区： 西安电子科技大学电子工程学院

出　　处： 《西安电子科技大学学报》 1996年第1期8-14,共7页

摘　　要： 基于ＦＡＭ神经网络，采用Ａ．Ｋａｗａｍｕｒａ等人提出Ｎｅｕｒａｌ－Ｆｕｚｚｙ协作系统概念，实现模糊控制系统．网络保留了模糊控制系统的优点，知识采集方便，较之一般ＢＰ网，空间结构清晰，编码意义明确；同时具有学习功能，解决ＦＡＭ神经网络不易修改控制规则的缺点，学习速度快． Based on Fuzzy Associative Memories (FAM) networks, this paper uses the Neural Network to realize fuzzy control systems with the concept of Neurat-Fuzzy cooperation system by A.Kawamura. The network acquires knowledge as conveniently as Fuzzy control systems. Compared with general BP networks, it has clearer system architecture and more distinCt weight coding.Also it is characterized by the ability of learning which is not proposed by FAM systemswhose control ruled are not easy to adjust.

关 键 词： 模糊控制 神经网络 数学模型

领　　域： [自动化与计算机技术] [自动化与计算机技术]