Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)

Safety Evaluation on Building Construction Based on Hopfield Neural Network

Authors
Huiqin Gao
Corresponding Author
Huiqin Gao
Available Online October 2016.
DOI
https://doi.org/10.2991/iccahe-16.2016.2How to use a DOI?
Keywords
Building construction; safety evaluation; indicator system; Hopfield neural network
Abstract

In view of the current problems in the process of implementing safety management system in building construction in our country, one model was established for safety evaluation on building construction with taking expert scoring as network input, security class as the output based on Hopfield neural network. It obtained security class II for a certain construction company, and it was consistent with the construction company's actual situation. Research shows that Hopfield neural network has very strong memory and association function, and reflects the digital characteristics of sample data. It is simple, convenient, fair, accurate and suitable for safety evaluation on building construction.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-250-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/iccahe-16.2016.2How to use a DOI?
Copyright
© 2016, 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  - Huiqin Gao
PY  - 2016/10
DA  - 2016/10
TI  - Safety Evaluation on Building Construction Based on Hopfield Neural Network
BT  - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
PB  - Atlantis Press
SP  - 9
EP  - 15
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccahe-16.2016.2
DO  - https://doi.org/10.2991/iccahe-16.2016.2
ID  - Gao2016/10
ER  -