BP神经网络在备货型企业销售预测中的应用

Application of BP Neural Network to Sale Forecast for Make-to-Stock Enterprise

结合BP神经网络能学习和存贮大量的输入-输出模式映射关系,无需事前揭示描述这种映射关系的数学方程的特点,分析了BP神经网络在备货型企业销售预测中算法实现过程,根据某备货型企业的销售记录情况,建立了基于BP神经网络的销售预测模型。实例结果表明,此方法计算结果误差较小,结果明显优于移动平滑法等方法,可用于指导实际生产决策。

BP neural network can learn and store a large number of input-output mapping equations without presenting description of such relationship. By taking the advantage, a BP neural network model is proposed for sale forecast for make-to-stock enterprise. With this model, sale forecasting procedure is presented. An example is given and the results show that the forecasting error obtained by the proposed method is less than that obtained by several existing methods.