电焊机2017，Vol.47Issue(3)：67-72,6.DOI:10.7512/j.issn.1001-2303.2017.03.13
基于BP神经网络的DP600点焊熔核参数建模
Modeling of the DP600 resistance spot welding nugget parameter based on BP neural network
摘要
Abstract
The input vector is constructed by welding voltage and welding current,nugget diameter,heat-affected zone diameter and thickness of weld zone after welding as output,establish DP600 high strength steel resistance spot welding nugget diameter model.Deduce gradient descent method,gradient descent method with momentum and conjugate gradient training method,and use actual test data to train and predict.The result shows that the model which uses conjugate gradient training method has smallest error rate,the overall error of parameters within 8％,the average error is 4％,which can be applied to quality control.关键词
DP600/电阻点焊/BP神经网络/训练优化Key words
DP600/resistance spot welding/BP neural network/training optimization分类
矿业与冶金引用本文复制引用
陈辉,包晔峰,蒋永锋,杨可,姚子铃..基于BP神经网络的DP600点焊熔核参数建模[J].电焊机,2017,47(3):67-72,6.基金项目
中央高校专项业务经费(2014811614) （2014811614）
