摘要
快速电火花线切割加工中的工艺参数模型是非常复杂,难以用常用的数学方法进行处理.该文利用BP网络通过对大量学习样本的学习,成功地反映了工艺参数模型,有效地映射了加工工件参数和加工工艺参数之间的复杂非线性关系.
The parameter model of FWEDM is very sophisticated and is difficulty in identification with normal mathematics method. The paper introduces a technologic parameter model by applying BP neural network. Based on sample learning, the new model efficiently determinates the sophisticated nonlinear relation between the parameters of machining work piece and parameters.
出处
《广东自动化与信息工程》
2000年第2期9-12,共4页
Guangdong Automation & Information Engineering
关键词
快走丝线切割
神经网络
电火花加工
机床
: FWEDM(Fast Wire-Electrode Discharge Machine), parameter, neural network.
