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| 基于神经网络的高速铣削表面粗糙度预报 | |
| 引用本文： | 王武,汤三,张元敏. 基于神经网络的高速铣削表面粗糙度预报[J]. 机械设计与制造, 2010, 0(3) |
| 作者姓名： | 王武 汤三 张元敏 |
| 作者单位： | 许昌学院,电气信息工程学院,许昌,461000 |
| 基金项目： | 河南省教育厅自然科学研究资助项目(2008A510014) |
| 摘 要： | 提出利用神经网络进行高速铣削表面粗糙度预报的方法,给出了具体的网络实现过程,应用灵敏度剪枝算法克服了网络隐层难以确定的问题,仿真结果表明该方法的有效性,对高速加工切削参数的选择和表面质量控制具有指导意义。 |
| 关 键 词： | 神经网络 预测模型 剪枝算法 表面粗糙度 |
Prediction of surface roughness of high speed machining based on neural netvvorks |
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| WANG Wu,TANG San,ZHANG Yuan-min. Prediction of surface roughness of high speed machining based on neural netvvorks[J]. Machinery Design & Manufacture, 2010, 0(3) | |
| Authors: | WANG Wu TANG San ZHANG Yuan-min |
| Affiliation: | Electro-information College/a>;Xuchang University/a>;Xuchang 461000/a>;China |
| Abstract: | The prediction models for surface roughness of high speed machining was created based on neural networks,the networks was realized and sensitivity pruning algorithm was applied to resolve the problem that the hidden layer nodes of neural networks are hard to determine,the simulation shows the method is effective and can provide a guidance to optimize cutting parameters and control surface quality. |
| Keywords: | Neural network Prediction model Pruning algorithm Surface roughness |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |