Proceedings of the 2012 National Conference on Information Technology and Computer Science

Research on the Prediction Model of Total Agricultural Output Value based on Wavelet Neural Network

Authors
Jin-yue Liu, Bao-ling Zhu
Corresponding Author
Jin-yue Liu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.72How to use a DOI?
Keywords
wavelet neural network; prediction; total agricultural output value
Abstract
This paper proposes a prediction model of total agricultural output value based on the wavelet neural network, and presents the model structure of network and learning algorithm to train network using the gradient-descent algorithm with the momentum, and then conducts a prediction for our country's total agricultural output value combined with the actual data. To verify the validity of the model, a comparison test was carried out. The results showed that compared with traditional BP network prediction model, this model had a faster convergence rate and higher prediction accuracy.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.72How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin-yue Liu
AU  - Bao-ling Zhu
PY  - 2012/11
DA  - 2012/11
TI  - Research on the Prediction Model of Total Agricultural Output Value based on Wavelet Neural Network
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 272
EP  - 275
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.72
DO  - https://doi.org/10.2991/citcs.2012.72
ID  - Liu2012/11
ER  -