BP神经网络在预测物流成本中的应用

Utilizing BP neural network to forecast Logistics cost

影响物流成本的因素过多且较复杂,采用简单的猜测试赋值有较大的主观性,因此物流成本预测问题是一个非常复杂的非线性问题.本文根据物流成本与其影响因素之间映射关系,建立了BP神经网络模型,将其应用于物流成本的预测.实验结果表明,该模型具有较高的精度.

Factors that influence logistics cost are anfratuous. Using simple guess is of great subjectivity. The prediction of logistics cost is a very complicated nonlinear problem. BP neural network model is established for the prediction of logistics cost basing on the relationship between logistics cost and its influential factors. The results show that the precision of the model is rather accurate.