基于BP神经网络的药品销售预测模型设计

The Design of Medicine Sale Forecast Model Based on BP Neural Network

提出一种根据药品的历史销售数据来建立数据仓库的方法,并建立了药品销售预测模型.该模型利用BP神经网络的学习理论建立算法来预测下一年药品的销售量,为药品生产提出优化方法,从而形成一个有效的药品生产决策系统模型.

This artical proposed an approach to build the data warehouse according to the historical data of the drugs sales, created a model to predict the medicine sales volume of next year on the basis of the theory of BP neural network and offered one optimized production method. So as to form an efficient medicine production decision system model.