Operating Performance Assessment of Fire Alarm System Based on BP Neural Network

DOI

10.2991/amcce-15.2015.381How to use a DOI?

Keywords

Fire alarm system; Operating performance assessment; Analytic hierarchy process (AHP); BP neural network

Abstract

With the rapid development of super large buildings, monitoring of fire hidden danger is much more difficult than ever. Whether fire alarm system is effective or not directly affects the ability of controlling fire and protecting people's lives and property. Operating performance assessment of fire alarm system is to assess intact effectiveness of the system by inspection and test. Analytic hierarchy process (AHP) is used to establish index system of operating performance. BP neural network algorithm is used to calculate the weight of each index so as to establish the assessment model of operating performance. It shows that the assessment model achieves better performance by MATLAB simulation and can provide reference for the system design and management.

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  - Na Qu
AU  - Jiwei Zhu
AU  - Jiahao Wang
PY  - 2015/04
DA  - 2015/04
TI  - Operating Performance Assessment of Fire Alarm System Based on BP Neural Network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1332
EP  - 1338
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.381
DO  - 10.2991/amcce-15.2015.381
ID  - Qu2015/04
ER  -