基于MLP神经网络的区域物流需求预测方法及其应用

A Method for Forecasting Regional Logistics Demand Based on MLP Neural Network and Its Application

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.为此提出了基于MLP神经网络的区域物流需求预测模型,不仅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.

Regional logistics forecasting is the key step in regional logistics planning and logistics resources rationalization. Because regional economy is the inherent and determinative factor of regional logistics demand, it is feasible to forecast regional logistics demand by economic indexes which can accelerate the harmonious development of regional logistics industry and regional economy. The regional logistics demand forecasting model based on MLP artificial neural network （ANN） not only explains the nonlinear relationship between regional economy and regional logistics demand but also puts forward a new idea and methodology for regional logistics demand forecasting.