基于神经网络的物流需求预测——以浙江省长兴县为例  

Forecasting Logistics Demand Based on Artificial Neural Network:A Case Study of Changxing County in Zhejiang Province

作　　者：徐优丽[1] 

机构地区：[1]浙江树人大学管理学院,浙江杭州310015

出　　处：《浙江树人大学学报（人文社会科学版）》2008年第1期56-58,共3页Journal of Zhejiang Shuren University(Humanities and Social Sciences)

摘　　要：为了寻找城市经济与城市物流之间的内在关系,并为城市物流规划提供必要的决策数据和依据,建立基于神经网络的"城市经济—物流需求"预测模型,对城市物流需求量进行预测。应用人工神经网络模型研究城市经济与城市物流需求之间的内在非线性映射关系,为城市物流需求预测提供了一种新的思路和方法。本文以浙江省长兴县历年经济数据作为模型的信息输入,建立起长兴县物流预测模型,并进行求解。To look for the internal relationship between urban economy and urban logistics and to provide urban logistics planning with necessary decision-making data, the paper tries to forecast urban logistics demand by building a forecasting model of “urban economy-logistics demand” based on artificial neural network （ANN）. The model based on ANN not only explains the nonlinear relationship between urban economy and logistics demand hut also puts forward a new idea and methodology for urban logistics de- mand forecasting. At last the economic data of Changxing County is fed into the model. The urban logistics demand forecasting model of Changxing County is established and the output is given.

关 键 词：神经网络 物流需求 浙江 长兴县 

分 类 号：F259.2[经济管理—国民经济] F224