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基于灰色神经网络的区域物流需求预测
引用本文:林荣天,陈联诚,李绍静,黄灏然. 基于灰色神经网络的区域物流需求预测[J]. 价值工程, 2007, 26(2): 92-95
作者姓名:林荣天  陈联诚  李绍静  黄灏然
作者单位:华南农业大学信息学院,广州,510642;华南农业大学信息学院,广州,510642;华南农业大学信息学院,广州,510642;华南农业大学信息学院,广州,510642
摘    要:区域物流与区域经济存在密切关系。从决定区域物流需求的经济因素出发,利用BP神经网络的非线性强拟合能力,建立两者的非线性映射关系;针对模型外推预测的能力不足提出改进的方案,采用灰色模型与神经网络相结合进行预测研究,并用广东省物流需求预测做实证,验证了模型的有效性。

关 键 词:区域物流需求  区域经济  神经网络
文章编号:1006-4311(2007)02-0092-04

Regional Logistics Demand Forecasting Based on Gray Neural Network
Lin Rongtian,Chen Liancheng,Li Shaojing,Huang Haoran. Regional Logistics Demand Forecasting Based on Gray Neural Network[J]. Value Engineering, 2007, 26(2): 92-95
Authors:Lin Rongtian  Chen Liancheng  Li Shaojing  Huang Haoran
Affiliation:College of Information South China Agricultural University, Guangzhou 510642, China
Abstract:Because of the close relationship between regional economy and regional logistics,this paper tries to use Back Propagation neural network to establish the nonlinear relationship between them. Furthermore,we propose another model integrating grey model and neural network to forecasting. This model overcomes the shortage in the first model. We use the logistics demand of Guangdong Province as the research case to validate the two proposed model,and the results show that they are effective.
Keywords:regional logistics demand  regional economy  neural network
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