Application of BP Neural Network in the Control of Hydraulic Die Forging Hammer

摘要：

It is an essential problem in the control of hydraulic die forging hammer that the mathematical model between deformation and forging energy,and it is nonlinear in nature. For its pretty nonlinear function approximation ability, BP neural network is suitable for resolving the problem. The architecture and the arithmetic of BP neural network were introduced.Furthermore, the BP neural network model was established. At the same time, the process and principle of the modeling also were expounded.Then,it was explained that how to use the BP neural network model in the control process. The result of experiment showed that the method takes effect very well.Other applications of BP neural network in the control of hydraulic die forging hammer was also introduced. At last,the disadvantage of the method was discussed briefly.

关键词： BP Neural Network Hydraulic Die Forging Hammer forging energy

作者: Li Yan Li Jianwei Liu Jun

作者单位: Mechanical & Electrical Engineering College Henan Agricultural University Zhengzhou,China Mechanical & Electrical Engineering College Henan Agricultural University Zhengzhou, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 39-41

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）