农机化研究Issue(9)：43-47,5.
基于灰色BP神经网络的农业机械总动力预测
Prediction of the Total Power of Agricultural Machinery Based on Grey BP Neural Network
摘要
Abstract
To predict the development trends of agriculture mechanization in Ningxia province, the method combined grey prediction model and BP neural network is proposed.By incorporating grey prediction theory in data preprocessing stage of BP neural network can construct the prediction model of the total power of agricultural machinery based on grey BP neural network.Besides, we choose the data of total power of agricultural machinery in Ningxia province from 1991 to 2014 as a sample, and using the model to predict the simulation.The result of simulation show that this model has high prediction accuracy, which average relative error is up to 0.18%, better than the grey GM(1,1) model of 3.50% as well as the BP neural network of 0 .29%.关键词
灰色预测模型/BP神经网络/预测/农业机械总动力Key words
grey prediction model/BP neural network/prediction/total power of agricultural machinery分类
农业科技引用本文复制引用
周杰,刘立波..基于灰色BP神经网络的农业机械总动力预测[J].农机化研究,2016,(9):43-47,5.基金项目
宁夏回族自治区科技支撑计划项目（2013）；中国科学院‘西部之光’人才培养计划项目 （）
