基于BP神经网络模型的泉州港粮食物流需求预测分析

The Research on the Prediction of Grain Logistics Demand in Quanzhou Port Based on the BP Neural Network Model

以泉州港的粮食物流需求为分析目标,依托历年统计数据,运用BP神经网络建立粮食物流需求预测模型和MALTAB软件求解,对泉州港未来6年的粮食物流需求进行预测,并对泉州港粮食物流提出发展对策。

This paper takes the demand of grain logistics in quanzhou port as the analysis target,using the BP neural network to build the food logistics demand forecasting model and the MALTAB software to solve the problem, Proposing the development countermeasures of grain logistics in Quanzhou Port.