Output-back fuzzy logic systems and equivalence with feedback neural networks

作     者：LI HongxingDepartment of Mathematics, Beijing Normal University, Beijing 100875, China 

作者机构：Department of Mathematics Beijing Normal University Beijing China 

出 版 物：《Chinese Science Bulletin》 (CHINESE SCIENCE BULLETIN)

年 卷 期：2000年第45卷第7期

页      面：592-596页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China NSFC: 696440 14 

主　　题：output-back fuzzy logic systems generalized fuzzy logic systems feedforward neural networks feedback neural networks. 

摘      要：A new idea, output-back fuzzy logic systems, is proposed. It is proved that output-back fuzzy logic systems must be equivalent to feedback neural networks. After the notion of generalized fuzzy logic systems is defined, which contains at least a typical fuzzy logic system and an output-back fuzzy logic system, one important conclusion is drawn that generalized fuzzy logic systems are almost equivalent to neural networks.