Development of Granary Temperature and Humidity Prediction Model Based on RBF Neural Network
- DOI
- 10.2991/icaset-17.2017.31How to use a DOI?
- Keywords
- RBF neural network, Granary temperature and humidity, Prediction model
- Abstract
The traditional prediction methods are generally based on the assumption of linear model. At present, BP neural network and RBF neural network are usually adopted by people in prediction. Since BP neural network has the problem of local optimum and slow training speed, etc., in this paper the method of RBF neural network is adopted in modeling the granary temperature and humidity system, so as to represent the prediction model of granary temperature and humidity system and acquire a recursive prediction model. The experiments results showed that this model can represent the corresponding relationship between the input data vector and the output vector of granary.
- Copyright
- © 2017, 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 - Weilin Qiu AU - Siqing Yang PY - 2017/05 DA - 2017/05 TI - Development of Granary Temperature and Humidity Prediction Model Based on RBF Neural Network BT - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017) PB - Atlantis Press SP - 163 EP - 166 SN - 2352-5401 UR - https://doi.org/10.2991/icaset-17.2017.31 DO - 10.2991/icaset-17.2017.31 ID - Qiu2017/05 ER -