Environment Control Method in Solid Waste Dry Fermentation Garage based on Global Variable Prediction Model

DOI

10.2991/itms-15.2015.41How to use a DOI?

Keywords

Solid Waste Dry Fermentation Garage; Environment Control; Neural Network; Global Variable

Abstract

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.

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/).

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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  -