计算机工程与应用2001，Vol.37Issue(5)：6-8,3.
一种基于模糊规则的神经网络结构及其学习算法研究
An Architecture for FRBNN and Its Learning Method
摘要
Abstract
An architecture for FRBNN(Fuzzy Rule-based Neural Network)is proposed,and applying a descriptive language for expressing it. FRBNN is composed of input layer,rule layer and output layer,and use membership function as net connection weights. The propagation of input value along the fuzzy weight simply result in membership value. After analyzing the characteristic of triangular function,This paper derives heuristic learning algorithm for FRBNN.Then It applies FRBNN for collision risk accessment,the result shows that FRBNN has the advantage of neural network and fuzzy inference systems.关键词
模糊规则神经网络基于模糊规则的神经网络分类
信息技术与安全科学引用本文复制引用
施平安,陈文伟..一种基于模糊规则的神经网络结构及其学习算法研究[J].计算机工程与应用,2001,37(5):6-8,3.
