A New Method of Grain Output Prediction Based on R/S Analysis

DOI

10.2991/amsee-16.2016.62How to use a DOI?

Keywords

grain output, R/S analysis, prediction

Abstract

The grain production data series present some regularity and nonlinear characteristics in time. To overcome the shortcomings of the linear prediction low precision in traditional grain yield, the application of R/S analysis which based on the nonlinear fractal theory in grain output prediction is studied in this paper. Firstly, the hurst index of grain production series is calculated, thereby its average cycle is analyzed, finally, the prediction of grain production is obtained by the power value of grain production series. Simulation results have shown that the proposed method in this paper can realize the data prediction with nonlinear variation law, and has higher prediction accuracy, compared with the traditional grain output prediction method based on the arima model.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Teijun Yang
AU  - Na Yang
AU  - Chunhua Zhu
PY  - 2016/04
DA  - 2016/04
TI  - A New Method of Grain Output Prediction Based on R/S Analysis
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 232
EP  - 235
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.62
DO  - 10.2991/amsee-16.2016.62
ID  - Yang2016/04
ER  -