Performance Forecasting of Piston Element in Motorcycle Engine Based on BP Neural Network

摘要：

The piston performance affects the performance of the Motorcycle. In order to forecast the piston performance effectively, the performance forecast model based on BP neural network is presented. According to the characteris-tics of piston performance, the training samples are made up of the orthogonal experimental data, which are utilized to ensure higher generalization of BP neu-ral network. And then the trained BP neural network is used to forecast test ex-ample. At the same time, the value of test samples is compared with the output of BP network model results. The results show that the output precision of BP neural network is high, and using the BP neural network to forecast the piston performance is practicable and effective.

关键词： Motorcycle Engine piston BP neural network Forecast

作者: Rong Dai

作者单位: College of Engineering and Technology, Southwest University, Chongqing, China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 148-157

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）