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区域物流需求预测是区域物流系统规划、物流资源合理配置过程中的重要环节,而区域经济是产生区域物流需求的内在决定性因素,因此寻求利用区域经济指标来预测区域物流需求具有较强的可行性,同时能够促使区域物流产业与区域经济之间的协调发展。此外,还揭示了区域经济与区域物流需求之间的非线性映射关系,同时也为区域物流需求预测提供了一种新的思路和方法.本文利用BP神经网络对湖北省物流需求进行预测,并取得了较好的预测结果。
Prediction of regional logistics demand is an important link in the process of regional logistics system planning and rational allocation of logistics resources. Regional economy is an inherent determinant of regional logistics demand. Therefore, it is feasible to seek to use regional economic indicators to forecast regional logistics demand , At the same time be able to promote the coordinated development of the regional logistics industry and the regional economy. In addition, this paper also reveals the nonlinear mapping relationship between regional economy and regional logistics demand, and also provides a new way of thinking for regional logistics demand forecasting.This paper forecasts the demand of logistics in Hubei Province by using BP neural network Achieved good forecast result.