摘要
利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。对比预测结果和实验结果,证明该模型具有较高的精度,适用于化学镀生产。
The technology optimization of electroless plating can be predicted by BP neural network and orthogonal experiment.The predictive results and experimental results are compared,the results show that the modal is better and can be applied in electroless plating.
出处
《榆林学院学报》
2010年第6期21-23,共3页
Journal of Yulin University
关键词
神经网络
化学镀
正交实验
优化
neural network
electroless plating
orthogonal experiment
optimization
