Application of CNN in the Prediction of Hail Cloudy
Authors
Jinlei Cui, Guodong Li, Wenxia Xu
Corresponding Author
Jinlei Cui
Available Online January 2015.
- DOI
- 10.2991/emcs-15.2015.163How to use a DOI?
- Keywords
- Cellular Neural Network; Wavelet transform; Prediction; Life feature vector matrix
- Abstract
This paper studies on the prediction of the hail. First, Cellular Neural Network method acts on the cloud radar images to extract their edge, The cloud’s contour feature would be more clear; and then, the edge detection would be processed by wavelet transform. Five different coefficients would be found; At last we construct hail cloud life feature vector matrix, explain the problem by matrix form, so as to find the corresponding rules through the five coefficients, after seeking to rules, through the simulation experiment, to achieve the purpose of hail forecast.
- 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 - Jinlei Cui AU - Guodong Li AU - Wenxia Xu PY - 2015/01 DA - 2015/01 TI - Application of CNN in the Prediction of Hail Cloudy BT - Proceedings of the International Conference on Education, Management, Commerce and Society PB - Atlantis Press SP - 795 EP - 799 SN - 2352-5398 UR - https://doi.org/10.2991/emcs-15.2015.163 DO - 10.2991/emcs-15.2015.163 ID - Cui2015/01 ER -