可控电解珩磨准稳态加工去除规律的神经网络建模  

Mathematical models of quasi stable machining removal law in field controlling electrochemical honing on neural network

作　　者：王彤波[1] 郭东明[1] 陈晓东[1,2] 

机构地区：[1]大连理工大学 [2]大连海事大学

出　　处：《电加工》1998年第3期32-35,共4页

基　　金：国家自然科学基金资助项目 !(594 750 70 )

摘　　要：针对可控电解珩磨准稳态加工中参数的多样性及因果关系的不确定性 ,提出一种应用人工神经网络建立准稳态加工去除规律模型的方法 ,通过理论分析给出应用神经网络建模方法的可行性。经实验验证 。Aiming at the uncertain of the parameter on cause and effect in field controlling electrochemical honing, bring forward establishing mathematical models of quasistable machining removal law in field controlling electrochemical honing on neural network. It is reasonable of using the method of neural network to predict the connection between electrochemical current law and quasi stable machining removal law on the theory, the results of the experiment also show that the method has a good stability and high precise.

关 键 词：神经网络 电解珩磨 计算机 电化学加工 

分 类 号：TG662[金属学及工艺—金属切削加工及机床]