A New Method of Grain Output Prediction Based on R/S Analysis
- 10.2991/amsee-16.2016.62How to use a DOI?
- grain output, R/S analysis, prediction
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.
- © 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/).
Cite this article
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 -