Research on fire warning based on improved artificial fish swarm optimization BP neural network

Jian Cui; Zihui Zhang; Nan Chen; Quanting Liu; Haoran Xu; Yuman Liu; Hongchen An; Haolin Li

doi:10.1117/12.3048272

3 October 2024 Research on fire warning based on improved artificial fish swarm optimization BP neural network

Jian Cui, Zihui Zhang, Nan Chen, Quanting Liu, Haoran Xu, Yuman Liu, Hongchen An, Haolin Li

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 1327232 (2024) https://doi.org/10.1117/12.3048272
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

The traditional fire warning system with a single threshold value is widely used. However, due to the development process of fire, the variation of parameters in each stage is quite different, so it is difficult to achieve rapid and accurate fire warning with a single parameter. Aiming at the problems existing in the traditional fire alarm system, a BP neural network prediction algorithm based on improved artificial fish swarm optimization is proposed. Combined with multi-data fusion technology, the characteristic temperature, CO concentration and smoke concentration in the early stage of fire are used as inputs, and the three stages of fire development are used as output of BP neural network for fire prediction. On the basis of the standard artificial fish swarm optimization BP neural network, chaos algorithm is used to improve the artificial fish swarm, optimize the search ability of artificial fish swarm algorithm, accelerate the convergence speed of neural network, and output the expected results. The experimental results of MATLAB simulation software show that compared with the standard artificial fish swarm optimization BP neural network, the convergence accuracy is improved, which proves the superiority of this method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jian Cui, Zihui Zhang, Nan Chen, Quanting Liu, Haoran Xu, Yuman Liu, Hongchen An, and Haolin Li "Research on fire warning based on improved artificial fish swarm optimization BP neural network", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 1327232 (3 October 2024); https://doi.org/10.1117/12.3048272

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Fire

Artificial neural networks

Neural networks

Evolutionary algorithms

Mathematical optimization

Data modeling

Education and training

Show All Keywords

Keywords/Phrases

Search In:

Publication Years