| 基于BP神经网络的高速磨削磨削力预测研究 |
| |
| 引用本文： | 罗宁.基于BP神经网络的高速磨削磨削力预测研究[J].厦门理工学院学报,2011,19(3):44-47. |
| |
| 作者姓名： | 罗宁 |
| |
| 作者单位： | [1]厦门大学物理与机电工程学院,福建厦门361005;[2]厦门理工学院机械系,福建厦门361024 |
| |
| 基金项目： | 厦门市科技计划指导性项目 |
| |
| 摘 要： | 应用BP神经网络算法建立高速磨削单位面积法向磨削力的预测模型.对比实验结果和预测值,表明该模型有一定的预测精度,通过增加学习样本或采用改进型的神经网络模型,能够进一步提高预测精度,对于高速超高速磨削研究有一定的帮助.
|
| 关 键 词： | 高速磨削 磨削力 BP神经网络 预测 |
Grinding Force Prediction with High-speed Grinding Based on BP Neural Network |
| |
| LUO Ning.Grinding Force Prediction with High-speed Grinding Based on BP Neural Network[J].Journal of Xiamen University of Technology,2011,19(3):44-47. |
| |
| Authors: | LUO Ning |
| |
| Institution: | LUO Ning(School of Physics and Mechanical & Electrical Engineering,Xiamen University,Xiamen 361005,China,Faculty of Mechanical Engineering,Xiamen University of Technology,Xiamen 361024,China) |
| |
| Abstract: | A prediction model of grinding force per unit area of high-speed grinding is built,using the BP neural network algorithm.Comparing the experiments results and predicted value,this model has certain prediction accuracy,and by increasing the learning samples or a modifying network model,the prediction accuracy can be further increased. |
| |
| Keywords: | high speed grinding grinding force BP neural network prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
