基于PSO-BP网络的煤炭企业物流成本预测

The forecast of logistics cost of coal enterprises based on PSO-BP

为了对煤炭企业物流成本进行有效的预测,首先分析了煤炭企业物流成本的影响因素,然后分别采用PSO-BP网络和BP网络对煤炭企业物流成本进行了预测,并对试验结果进行了对比分析,结果表明,PSO算法优化的BP神经网络,其收敛速度和预测精度都明显高于传统的BP网络。PSO-BP方法对煤炭企业物流成本的预测具有一定的参考价值和指导意义。

In order to forecast the logistics cost of coal enterprises effectively,the PSO-BP and BP network are respectively used to forecast the logistics cost ,the result shows that the PSO-BP network＇s convergence speed and prediction accuracy are obvious better than BP network. The PSO-BP neural network is very attractive for a wide application in forecasting logistics cost in coal enterprises.