物流园区物流量处理能力分析与计算  

Analysis and Calculation of Maximal Logistics Volume of Logistics Park

作　　者：曹健[1] 孙有望[1] 

机构地区：[1]同济大学交通运输工程学院,上海201804

出　　处：《物流科技》2014年第1期1-4,共4页Logistics Sci-Tech

基　　金：国家自然科学基金项目;项目编号:71072027

摘　　要：物流园区是近年来我国现代物流业发展中出现的新型态,对于物流园区物流量处理能力的估算一直是现在很多学者研究的焦点。现在计算处理能力的主要方法是通过参数标定计算各物流模块处理物流量后再叠加,但现有研究均未尝试通过人工神经网络法拟合物流园区各功能模块的面积与总物流量处理能力的关系,再通过两者关系进行物流量处理能力测算。Recently, logistics park is a new type emerged in Chinese logistics industry. How to estimate maximal logistics volume of a logistics park has been a focus of many scholars. The main algorithmic method to estimate maximal logistics vol- ume is to calculate logistics volume of eacb module in the way of parameter calibration and add each module＇s logistics volume afterward. But no one tried to fit the relationship between area of each functional module and maximal logistics volume in the way of artificial neural network predicting model, then estimate tile logistics volume according to the fitting relationship.

关 键 词：物流园区物流量处理能力 神经网络预测算法 MATLAB软件 

分 类 号：F250[经济管理—国民经济]