一种智能型的PCB产业需求预测方法

目前需求预测在整个印制电路板产业的生产活动控制中正扮演着越来越重要的角色。分析了影响印制电路板需求的因素和现有的预测方法,提出了一种适用于PCB产业需求预测的有效方法——遗传/BP—神经网络。实验表明该方法能够进一步改善印制电路板预测的准确度和减少生产成本的消耗。

An Intelligent Demand Forecasting Method of Printed Circuit Board Industry

Nowadays demand forecasting is playing an important role in production activity control of printed circuit board industry. By analyzing the factors affecting PCB demands and existing forecasting methods, an intelligent forecasting method: Back Propagation Neural Network with Genetic Algorithm applied to PCB industry is proposed. And the experiments indicate that the proposed method can greatly improve the accuracy of forecasting and sharply decrease the consumption of cost.