The application of BP neural network model of DNA-based genetic algorithm to monitor cutting tool wear

摘要：

This paper proposes a method of applying BP neural network model of DNA-based genetic algorithm to monitor and forecast cutting tool wear. Through the optimization- by training, that is adopts DNA genetic algorithm to optimize the initial figure of BP neural networks and increases the speed of convergence and avoid local minimum, the BP neural network model can effectively extract the characteristic parameters that affect the tool wear characteristics, monitor and forecast of the tool wear, as well as get higher forecast accuracy.

关键词： DNA genetic algorithm tool wear monitoring BP neural network

作者: Nie shu-zhi Ye bang-yan

作者单位: School of Mechanical and Automotive Eng.South China University of Technology Guangzhou, China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 338-341

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）