Fault Diagnosis based on hybrid algorithm of an improved adaptive GA and BP

摘要：

Although BP algorithm can adaptive change with the environment, it can not guarantee that it can find the global optimal solution every time. A hybrid method of an improved genetic algorithm and BP algorithm is proposed to overcome the disadvantages of BP algorithm and that the genetic algorithm is prone to premature. Fault diagnosis results prove that the proposed IAGA-BP method is accuracy and the proposed IAGA-BP method is more high accuracy and smaller error than other methods.

关键词： improved Gar BP hybrid algorithm

作者: Tang Hongcheng Wang Ping Liu Chunxia

作者单位: College of Automation and Electronic Engineering Qingdao University of Science and Technology, Qingdao 266042, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 142-145

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）