基于Elman神经网络的原料奶价格预测研究

Research on price prediction of raw milk based on Elman neural network

近年来,中国奶制品行业发展迅速,原料奶的价格走势越来越受到关注。影响原料奶价格的因素众多,传统的价格预测方法难以精准预测。本文使用2009年1月至2017年11月的原料奶价格数据,采用Elman神经网络模型预测原料奶价格走势,结果表明这种预测方法拟合性好,预测精度高,为农畜产品价格预测提供了一种全新的思路和方法。

in recent years, China＇s milchigsindustry has developed rapidly. The price trend of raw milk has been paid more and more attention. There are many factors affecting the price of raw milk, and the traditional price prediction method is difficult to predict accurately. The price of raw milk from January 2009 to November 2017 data used in this paper, using Elman neural network model to forecast the price trend of raw milk,the results show that the prediction method has good fitting accuracy, provides a new idea and method to forecast the price of agricultural products.