MATLAB语言
人工神经网络
计算机科学
方案(数学)
工具箱
理论(学习稳定性)
订单(交换)
程序设计范式
线性规划
反向传播
数学优化
运筹学
人工智能
机器学习
算法
工程类
数学
数学分析
财务
经济
程序设计语言
操作系统
作者
Kangkang Zhao,Xianyu Gong,Yanhong Wu,Zhibo Gao
标识
DOI:10.1109/icetci55101.2022.9832269
摘要
This paper deals with the ordering and transportation of raw materials. Firstly, the order completion rate, out of stock rate and stability were taken as three indicators affecting the supply characteristics, and a comprehensive evaluation model was established to select the companies with high scores as suppliers. BP neural network is used to establish the order quantity prediction model, and the neural network toolbox provided by MATLAB is used to program. Then take the different demand as the objective function, establish the multi-objective programming model, and give different priority factors, convert it into a single objective programming, so as to find the optimal ordering scheme and transport scheme.
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