Area Economic Output Forecast Based on Gray Recurrence Equal Dimension Algorithm
CHEN Xuegai
WANG Fei
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.
Keywords：grey systemGM(11) modeln) modeldata forecastecological agricultureeconomic output
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 415-418 )