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

DOI

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.

Copyright

© 2012, 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  - 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  - Proceedings of the 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  - 10.2991/citcs.2012.72
ID  - Liu2012/11
ER  -