The combustible gas generator based on fuzzy- neural network

摘要：

This paper has combined neural network with fuzzy control and achieved the self-learning and adaptive of fuzzy-controller, has realized the control of combustible gas generator by a fuzzy-neural network optimization algorithms based on Hierarchical Genetic Algorithm(HGA).In addition, fuzzy-neural network structure and weight parameters have been optimized and the optimal control of the combustible gas generator with characteristics of non-linear, timevarying, interference and pure —delay has been achieved.

关键词： combustible gas generator Hierarchical Genetic Algorithm (HGA) Fuzzy-neural netwotk

作者: Zuoxun Wang Guijuan Wang Tao Hao Xiangyu Sun

作者单位: School of Electrical Engineering and Automation Shandong Polytechnic University Jinan, China School of Information and Electrical Engineering Shandong Jianzhu University Jinan, China College of Electrical Engineering and Automation Shandong Polytechnic University Jinan, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 1192-1195

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）