BP神经网络在药品销售预测中的应用

目的对药品销售情况进行科学的分析和预测，为合理制订药品采购计划提供参考。方法利用BP神经网络的数据分析、统计、对非线性数据进行拟合等功能，对药品未来的销售量和销售趋势进行分析和预测。结果BP神经网络仿真预测的药品销售量与实际销售量无显著性差异。结论BP神经网络在预测药品未来销售量上具有实际应用价值，为合理制订药品采购计划，降低药品流通成本提供参考依据。

The Use of BP Neural Networks in Prediction of Drug Marketing

Objectiv Sales of drugs for scientific analysis and forecasting, the development of drugs for a reasonable reference for the procurement plan. Methods BP neural network using the data analysis, statistics, data on the nonlinear fitting functions, the future of pharmaceutical sales and sales trend analysis and forecasting. Results BP neural network simulation of the forecast sales and actual sales volume of drugs was no significant difference. Conclusions BP neural network to forecast future sales of drags with the practical application of the value of the development of drugs for a reasonable procurement plans, reducing the cost of drugs to provide a reference flow.