多目标组合运输物流量预测建模算法

提出了一种新的多目标组合运输物流量预测建模算法.以时间、领域、影响以及组合运输为基准,运用系统工程理论思想设计出一种四维的物流量影响因素模型,并运用结构方程模型对所建模型做了优化,提取出组合运输物流量的核心影响因素.在改进的神经网络算法的基础上结合遗传算法,提出了一种结合遗传算法的改进的神经网络新算法,弥补了改进的神经网络算法上的缺陷,在多目标组合运输物流量预测的实例应用中,该算法不仅有很高的预测精度,而且具有收敛速度快、运行稳定的特点.

Algorithm of multi-objective prediction on logistics volume of combined transportation

A new method was brought forward for the modeling of multi-objective prediction on logistics volume of combined transportation.Based on the standard of time,field,influence and combined transportation,using systems engineering antilogy,a model of four-dimensional factors of logistics volume was designed and optimized by using structural equation model.The fatal influencing factors of logistics volume of combined transportation were distilled.A new advanced neural network arithmetic integrated with genetic algorithm was put forward to make up the limitation of advanced neural network,and applied in a example of multi-objective prediction on logistics volume of combined transportation.Results show that this advanced algorithm performs steadily with high precision and convergence speed.