Study on Engine Characteristic Curves Drawing Method Based on BP Neural Network

摘要：

　　The BP neural network model based on PSO particle swarm optimization algorithm is analyzed in this paper.The engine speed and torque is the input of the network and the fuel consumption rate is output.Appling PSO algorithm to optimize BP neural network weights and threshold value,which makes the BP network having high precision nonlinear mapping relation,and then realize it by MATLAB software.Practice proves that the method is effective and it provides a new method of rendering engine characteristic curve fitting.

关键词： PSO Algorithm BP Neural Network Engine Universal Characteristic Curve

作者: Cui Xia Guo Kang Liu Wen Ling Xie Shun Yong Zhou

作者单位: School of Mechanical Engineering,Sichuan University of Science & Engineering,Zigong 643000,China School of Electronic Engineering,Sichuan University of Science & Engineering,Zigong643000,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 593-596

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）