Research on the Prediction Model of Total Agricultural Output Value based on Wavelet Neural Network
Jin-yue Liu, Bao-ling Zhu
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.72How to use a DOI?
- wavelet neural network; prediction; total agricultural output value
- 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.
- 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 -