Application of Sensitivity Pruning Neural Networks in Surface Roughness Prediction

摘要：

The surface roughness is a key parameters in high speed machining and often hard to control.The prediction model for surface roughness was created based on artificial neural networks which have strong non-linear modeling ability. The sample data collection method was analyzed and BP neural networks was designed, but the traditional BP neural networks has many shortcomings like easily step into local minimum, with weak generalization ability and the middle layer neuron are hard to determine, so the sensitivity pruning algorithm applied.The simulation shows the method is effective and can provide a guidance to optimize cutting parameters and control surface quality.

关键词： sensitivity pruning algorithm surface roughness neural networks simulation prediction model

作者: Wang Wu Zhang Yuan-min Wang Hong-ling

作者单位: Xuchang University Electro-information College Xuchang,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: 48-51

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）