现代制造工程Issue(3)：73-77,5.
基于双隐层L-M算法的BP神经网络机械加工误差预测控制模型
A error predictive control model of mechanical processing based on double hidden layers & L-M algorithm to adjusting BP neural networks
摘要
Abstract
Analyzed error transmission and formation, and constructed double hidden L-M algorithm BP neural network predictive control model according to multiple input and output. The model is used to predict and control total amount of feed,first and second amount of feed by means of the rigidity of process system,workpiece hardness,before and after processing the radial error. Experimental and simulation shows that the model can guide the production, optimize the machining process, improve products quality. Finally, software system of error predictive control with LABVIEW and MATLAB realize predictive control visualization.关键词
误差/双隐层/BP神经网络/LABVIEW软件Key words
error/double hidden layers/BP neural network/LABVIEW分类
矿业与冶金引用本文复制引用
龚立雄,万勇,侯智,黄敏,姜建华..基于双隐层L-M算法的BP神经网络机械加工误差预测控制模型[J].现代制造工程,2013,(3):73-77,5.基金项目
重庆市教委科学技术研究项目(KJ110818) （KJ110818）
重庆理工大学科研启动项目(2010ZD24) （2010ZD24）
重庆理工大学青年基金项目(2011ZQ25) （2011ZQ25）
