基于BP神经网络的零售连锁企业安全库存预测方法

摘要

通过对零售连锁企业中安全库存量的影响因素分析,建立相应的BP神经网络预测模型,并用实际安全库存量对网络进行训练,利用训练好的模型进行安全库存量的预测,实验结果表明准确度较高.%In this paper, through analyzing the influence factors of the safety stock of chain retail enterprises, we established the corresponding forecasting model based on BP neural network and used practical data to train it. Then we applied the well-calibrated model in the safety stock forecasting in an example and found the result highly accurate.