Environment Control Method in Solid Waste Dry Fermentation Garage based on Global Variable Prediction Model
- 10.2991/itms-15.2015.41How to use a DOI?
- Solid Waste Dry Fermentation Garage; Environment Control; Neural Network; Global Variable
The thesis put forward a new global variable prediction model whose theories, structure of modeling and operation were discussed. Applying BP neural network in solid waste dry fermentation garage environment control, the reliability and stability of the new control method was proved.
- © 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 - P.J. Wang AU - Y.S. Chen AU - D.W. Zhu AU - R.R. Li AU - H.L. Qu PY - 2015/11 DA - 2015/11 TI - Environment Control Method in Solid Waste Dry Fermentation Garage based on Global Variable Prediction Model BT - Proceedings of the 2015 International Conference on Industrial Technology and Management Science PB - Atlantis Press SP - 161 EP - 165 SN - 2352-538X UR - https://doi.org/10.2991/itms-15.2015.41 DO - 10.2991/itms-15.2015.41 ID - Wang2015/11 ER -