首页 | 本学科首页   官方微博 | 高级检索  
     

BP神经网络预测脉冲电沉积Cu-SiC镀层镀速的研究
引用本文:李兴远,夏法锋,陈达. BP神经网络预测脉冲电沉积Cu-SiC镀层镀速的研究[J]. 兵器材料科学与工程, 2013, 0(3)
作者姓名:李兴远  夏法锋  陈达
作者单位:宁波大红鹰学院,浙江 宁波,315175;东北石油大学 机械科学与工程学院,黑龙江 大庆,163318
摘    要:采用脉冲电沉积在A3钢表面制备Cu-SiC镀层。采用BP网络模型对脉冲电沉积Cu-SiC镀层的镀速进行预测研究。结果表明:本BP模型为3×9×1型神经网络模型,预测值与试验值曲线吻合较好;其相对误差较小,最大误差为2.7%,其相关系数为0.999,能较好地预测脉冲电沉积Cu-SiC镀层的镀速。

关 键 词:BP网络模型  脉冲电沉积  Cu-SiC镀层

Forecast of plating rate of pulse electrodeposited Cu-SiC coatings using BP model
LI Xingyuan , XIA Fafeng , CHEN Da. Forecast of plating rate of pulse electrodeposited Cu-SiC coatings using BP model[J]. Ordnance Material Science and Engineering, 2013, 0(3)
Authors:LI Xingyuan    XIA Fafeng    CHEN Da
Abstract:The Cu SiC coatings were deposited on the surface of A3 steel by pulse electrodeposition method. And a BP model was used for forecasting the plating rate of Cu SiC coating. The results indicate that the BP model is 3×9×1 neural networkmodel.The predicted values agree well with experimental values,the relative error is small,and the max error is 2.7%,the coefficient of correlation is 0.999. This BP model can be used to predict the plating rate of pulse electrodeposited Cu SiC coatings.
Keywords:BP model  pulse electrodeposition  Cu-SiC coating
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号