摘要
将基于粒子群的模糊C均值聚类应用于模糊神经网络中规则库的生成及优化中。避免了传统模糊C均值聚类用于对输入变量空间进行划分并生成初始规则库的盲目性和随机性。
This paper explored the Fuzzy Neural Network Based on improved Fuzzy clustering in the rule of the Generation and Optimization. Blindness and randomness were avoided when the traditional fuzzy c-means clustering was used to input variable space of and generate the initial rule base.
出处
《大理学院学报（综合版）》
CAS
2008年第4期39-41,共3页
Journal of Dali University
基金
陕西省教育厅自然科学专项基金资助项目(06JK286)
