基于C#与MATLAB混合编程的物流需求预测系统的实现  

Implementation of Logistics Demand Forecasting System Based on Hybrid Programming with C # and MATLAB

作　　者：许茂增[1] 余国印 

机构地区：[1]重庆交通大学管理学院,重庆400074

出　　处：《重庆交通大学学报（自然科学版）》2015年第4期128-132,共5页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：教育部人文社科研究项目(10XJA790009)

摘　　要：根据物流需求数据的不同特点,归纳了灰色GM(1,1)模型、移动平均值模型、指数平滑模型、季节指数模型、BP神经网络模型、线性回归模型、多项式拟合模型和非线性回归模型8种常见的物流需求预测模型,并据此为物流企业开发了基于C#与MATLAB混合编程的物流需求预测系统,降低了物流企业物流需求预测的复杂度。最后通过预测实例表明该系统具有较好的适用性和较高的预测精度。According to different characteristics of logistics demand data,8 common logistics demand forecasting models was summarized,such as,the grey GM（ 1,1） model,the moving average model,the exponential smoothing model,the seasonal index model,BP neural network model,linear regression model,polynomial fitting model and nonlinear regression model and so on. On the basis of it,a logistics demand forecasting system based on the hybrid programming technology with C # and Matlab was developed for the logistics enterprises,and it reduced the complexity of logistics demand forecasting in the logistics enterprises. Finally,the forecasting example shows that the system has good applicability and high forecasting accuracy.

关 键 词：管理工程 混合编程 物流需求预测系统 

分 类 号：F252.21[经济管理—国民经济] TP311[自动化与计算机技术—计算机软件与理论]