农机化研究Issue(11)：34-37,4.
基于粗糙集理论和 BP 神经网络的粮食产量预测方法
The Prediction of Grain Production Based on Rough Set and BP Neural Network
摘要
Abstract
Based on rough set theory and BP neural network advantages in information processing , establishes a system model based on rough set theory and BP neural network , on this basis for grain production prediction .The simulation re-sults show that compared with the traditional model and prediction method. The method in this paper significantly im-proves the speed and precision of prediction , so it has a good application prospect in practice .关键词
粗糙集/BP 神经网络/粮食产量/预测Key words
rough set/BP neural network/grain production/prediction分类
农业科技引用本文复制引用
杨雨时,董连杰,管琳..基于粗糙集理论和 BP 神经网络的粮食产量预测方法[J].农机化研究,2014,(11):34-37,4.基金项目
河北省科技计划项目 （）
