基于人工神经网络的汽车喷涂配比优化研究与应用

Optimized research and application of spraying ratio for automobile based on artificial neural network

本文阐述了人工神经网络基本原理,在此基础上应用双层前向人工神经网络模型,对汽车喷涂生产工序中的原料配比进行优化,将传统人工凭经验进行配比改变为计算机自动生成最佳原料配比。从而大大降低成本,缩短生产时间。

The basic principle of artificial neural network has been introduced in the text.The faults in neural network model have been analyzed and the optimized strategy has been put forward.The double forward artificial neural network model has been adopted to optimize the material ratio in spraying step for automobile.The conventional manual ratio has been changed into computer-control optimized ratio.Thus in this way,the production cost and time have been greatly reduced.The practice proves the feasibility.