基于模糊加权论证方法的模糊神经网络(英文)

A Fuzzy Neural Network Based on Fuzzy Weighted Reasoning Method

在‘Mamdani’论证方法的基础上提出改进的模糊加权推理方法。模糊神经网络是以改进模糊加权论证方法为基础发展起来的。网络加权和成员函数最优化的相互匹配在应用发展规则系统的条件下进行。模糊规则可根据网络加权而获得 。

An improved fuzzy weighted reasoning method is presented on the basis of 'Mamdani' reasoning method. A fuzzy neural network is developed based on the improved fuzzy weighted reasoning method. The training of network weights and optimization of membership function are con-ducted employing genetic algorithms. Fuzzy rules can be obtained according to the weights of the network. The effectiveness of the network model and the algorithm is examined by simulated experiments.