计算机与数字工程2017，Vol.45Issue(3)：415-418,4.DOI:10.3969/j.issn.1672-9722.2017.03.001
基于灰色自适应等维递补算法的区域经济产值预测
Area Economic Output Forecast Based on Gray Recurrence Equal Dimension Algorithm
摘要
Abstract
The GM(1,1) model has a prediction error problem caused by less time-series data, incomplete data, by analyzing prediction methods of unknown data and features of time series data, on the basis of improving the original model defect, a new prediction method-adaptive algorithm gray fill vacancies is proposed.Combined with prediction theory derivation process, prediction algorithm steps are summarized to make prediction calculation process more concise.Finally, economic output of province A ecological agriculture development model of in recent years is used to to verify the prediction algorithm, the results show that agricultural sightseeing garden, folk scenic tourist facilities and three forms of ecological agriculture agricultural output prediction error are only 0.04, 0.001 and 0.0008, As a new method, the algorithm to predict the time series data has high accuracy.关键词
灰色系统/GM(1,1)模型/GM(1,n)模型/数据预测/生态农业/经济产值Key words
grey system/GM(1,1) model/GM(1,n) model/data forecast/ecological agriculture/economic output分类
信息技术与安全科学引用本文复制引用
陈雪改,王飞..基于灰色自适应等维递补算法的区域经济产值预测[J].计算机与数字工程,2017,45(3):415-418,4.基金项目
国家社会科学规划基金资助一般项目(编号:15BGL054) （编号:15BGL054）
江苏高校哲学社会科学研究重点项目(编号:20162DIXM008) （编号:20162DIXM008）
自然科学基金项目(编号:71603070)资助. （编号:71603070）
