摘要
基于赛题实验数据,在240周历史数据的基础上,采用BP神经网络的方法对未来26周的产能和运输损耗进行预测,并采用线性规划的方法,对原材料的订购方案和运输方案进行研究,通过模拟仿真的方法对得到的方案进行评估。结果表明:本文给出的方案实施效果较好。
Based on the historical data of 240 weeks,this article uses the BP neural network method to predict the production capacity and transportation loss in the next 26 weeks.In addition,it uses the linear programming meth‐od to study the purchasing scheme and transporting scheme of materials,and evaluates the scheme through simulation.The results indicate that the implementation of the proposed scheme is effective.
作者
胡慧旦
张海波
林天舒
周洪鹏
Hu Huidan;Zhang Haibo;Lin Tianshu;Zhou Hongpeng(School of Electronics and Information Engineering,Taizhou University,Linhai 317000,China)
出处
《台州学院学报》
2022年第3期17-26,共10页
Journal of Taizhou University
关键词
线性规划
订购运输方案
神经网络
linear programming
purchasing and transporting scheme
neural network
