Research On Intelligent Low Carbon Urban Lighting System
Authors
Tao Wang, Zhanhua Zan, Zhenlong Yang, Jinlong Zhu, Longfei Ma, Yapeng Hu, Xinchao Zhao
Corresponding Author
Tao Wang
Available Online December 2015.
- DOI
- 10.2991/isesce-15.2015.82How to use a DOI?
- Keywords
- Intelligent low carbon lighting system Lighting System Data Fusion Fuzzy Control Neural Network
- Abstract
Smart low-carbon city as a rapidly developing field is the most investment value of the new project in the 21st century.In this paper, we propose an intelligent low carbon urban lighting system using fuzzy control and neural network control algorithm, it can realize intelligent, low carbonization and human nature of urban .
- 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 - Tao Wang AU - Zhanhua Zan AU - Zhenlong Yang AU - Jinlong Zhu AU - Longfei Ma AU - Yapeng Hu AU - Xinchao Zhao PY - 2015/12 DA - 2015/12 TI - Research On Intelligent Low Carbon Urban Lighting System BT - Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering PB - Atlantis Press SP - 409 EP - 412 SN - 2352-5401 UR - https://doi.org/10.2991/isesce-15.2015.82 DO - 10.2991/isesce-15.2015.82 ID - Wang2015/12 ER -