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人工神经网络模型的江西省物流需求预测
引用本文:张诚,冯亚萍.人工神经网络模型的江西省物流需求预测[J].华东交通大学学报,2014(4):26-32.
作者姓名:张诚  冯亚萍
作者单位:华东交通大学经济管理学院,江西南昌330013
基金项目:江西省软科学研究计划项目(20122BBA10104); 科技部国家软科学研究计划项目(2010GXS5D224)
摘    要:区域物流与区域经济息息相关。为了准确预测区域物流需求规模,运用灰色关联对决定区域物流需求的经济因素以及他们之间的相关性进行分析,建立区域物流需求预测指标体系和BP神经网络区域物流预测模型。通过实证分析,验证了预测模型的有效性,并对江西未来5年的物流需求做出了预测。

关 键 词:区域物流  区域经济  人工神经网络

Logistic Demand Forecasting in Jiangxi Province Based on Grey Correlation
Zhang Cheng,Feng Yaping.Logistic Demand Forecasting in Jiangxi Province Based on Grey Correlation[J].Journal of East China Jiaotong University,2014(4):26-32.
Authors:Zhang Cheng  Feng Yaping
Institution:(School of Economics and Management, East China Jiaotong University, Nanchang 330013, China)
Abstract:Regional logistics and regional economies are closely connected. In order to accurately predict the demand size of the regional logistics, this paper uses grey correlation to analyze economic factors that may determine the regional logistic demand. It establishes regional logistic demand forecasting index system and BP neural network of regional logistic forecasting model. The empirical analysis verifies the validity of the prediction model, and provides a prediction of logistic needs in Jiangxi for the following five years.
Keywords:regional logistics  regional economy  artificial neural network
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