Structure and Rules Autoextraction of Fuzzy Reasoning Neural Network

Abstract

A multilayer neural network having predetermined structure and multiplier and divider neurons is proposed in reference to structure, learning method, generalization and knowledge extraction applied to fuzzy reasoning. This neural network is named the Fuzzy Reasoning Neural Network (FRNN). It can determine membership functions and rules in learning, modify rules, add and delete rules from the set of rules, and extract knowledge in fuzzy reasoning applications. I also propose a new method that is applied to FRNN that extract rules automatically by the improved Backpropagation method for learning.