The Research and Application of Time Series Prediction Model

Yue Ling Zhao; Li Ying Cao; Li Ma; Gui Fen Chen

doi:10.4028/www.scientific.net/AMR.1049-1050.1396

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050The Research and Application of Time Series...

The Research and Application of Time Series Prediction Model

Abstract:

The idea of using time series analysis to predict product is not new. At present, there are many food resources prediction and evaluation, and in the agricultural research it is prediction good method of international popular food like method, remote sensing prediction method, multiple regression and other methods to predict yield. In this paper, the main production data is used in Jilin province in recent decades, the application of time series analysis method of comparative study, in order to serve agriculture and choose a more accurate prediction of time series model in recent years of maize yield in Jilin province. The results showed that ARIMA (2,1,1) could correctly simulate and forecast the products of maize, providing an important method for accurately predicting the yield in formation of agricultural products.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1396-1399

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1396

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Online since:

October 2014

Authors:

Yue Ling Zhao, Li Ying Cao, Li Ma, Gui Fen Chen

Keywords:

Arima, Maize Yield, Model, Prediction, Time Series

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