人工神经网络在粮食销售额预测中的应用

The Application of Manpower Nerve Net in Food Sale Forecast

粮食销售额预测是从以往销售额的数据中总结粮食销售额变化的规律性,并用这个规律动态地预测未来的销售额。人工神经网络的诸多特性能较好地处理粮食销售额预测问题。为此,介绍了BP神经网络的结构、算法和基于人工神经网络的粮食销售额预测。实验结果表明,人工神经网络的预测方法是可行的。

Food sale forecast is to sum up the rule of food sale from the data of sale records before, and to forecast the future sale from this trends. Many characters of manpower nerve net can deal with the problems in food sale forecast well. So introduced the structure of BP nerve net, arithmetic and forecast of food sale forecast based on manpower nerve net. The result of experiment showed that forecast of manpower nerve net is feasible.