Proceedings of the International Conference on Computer Information Systems and Industrial Applications

Application of An Improved Grey Neural Network in Grain Yield Prediction

Authors
H. Lv, T. Lei, X. L Huang, Y. K Zhang
Corresponding Author
H. Lv
Available Online June 2015.
DOI
10.2991/cisia-15.2015.153How to use a DOI?
Keywords
grey neural network; grey model; grain yield prediction
Abstract

Grain yield presents a complex nonlinear relationship with variables, and takes on randomness and mutability. It is hard to describe the prediction model with traditional linear model. Grey model can be used to process samples with great stochastic volatility. In this paper, we propose to use the grey neural network to predict the grain yield. Experiments are carried out on the beans yield, rice yield and corn yield respectively to evaluate the prediction performance. The promising experimental results validate the effectiveness of our prediction model.

Copyright
© 2015, 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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Volume Title
Proceedings of the International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.153
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.153How to use a DOI?
Copyright
© 2015, 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  - H. Lv
AU  - T. Lei
AU  - X. L Huang
AU  - Y. K Zhang
PY  - 2015/06
DA  - 2015/06
TI  - Application of An Improved Grey Neural Network in Grain Yield Prediction
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 560
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.153
DO  - 10.2991/cisia-15.2015.153
ID  - Lv2015/06
ER  -