灰色系统理论预测算法GM(1,1)模型研究及其应用  

Research on GM(1,1) Model of Grey System Prediction Algorithm and its Application

作　　者：强彦[1] 郭常莲[2] 孙然[2] 

机构地区：[1]太原理工大学计算机科学与技术学院,太原030024 [2]山西省农科院综考所,太原030006

出　　处：《电脑开发与应用》2011年第5期1-3,共3页Computer Development & Applications

基　　金：山西省科技攻关基金资助项目(20090311091)

摘　　要：目前,农村经济数据存在小样本、少数据和信息不完全等问题,用传统的建模方法并不太适合。灰色系统理论是一种研究少数据、贫信息、不确定性问题的新方法,它在农村经济预测中相对于传统预测方法有明显的优势。重点研究了GM(1,1)模型、等维灰数递补动态模型和周期修正模型,对预测算法存在的不足和缺陷提出了改进方案,并运用matlab GUI完成了灰色预测算法的实现。The forecast of rural economic development is particularly important.But rural economic data exists many problems,for example,little sample,less data and incomplete information,the traditional model is not the best.Gray system theory is a new method in dealing with less data,inadequate information and uncertain problems,it has obvious advantages in rural economic forecast.This paper focuses on the GM（1,1） model,equal dimension gray number dynamic model,residual cycle correction model and presents an improved scheme in view of the shortcomings and deficiencies of the prediction algorithm.,and realized the gray prediction algorithm by matlab GUI.

关 键 词：农村经济 灰色系统理论 灰色预测 灰色模型 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]