Based on WOA-BP neural network power the behavior detection

Lingji Kong; Xinmeng Wang; Haiqi Li; Chengnan Zhao; Junqiang Tian

doi:10.1117/12.3025579

8 April 2024 Based on WOA-BP neural network power the behavior detection

Lingji Kong, Xinmeng Wang, Haiqi Li, Chengnan Zhao, Junqiang Tian

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130900Z (2024) https://doi.org/10.1117/12.3025579
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In view of the current situation that the phenomenon of power pilferage is common and the difficulty of anti-theft, a BP (Back Propagation) neural network steal detection method optimized by whale algorithm is proposed. This method detects the power theft behavior through the power trend decline index, line missing index, and problem index, and optimizes it with the whale algorithm since BP neural network algorithm to raise its accuracy. The experimental results show that the whale algorithm capable of optimizing the BP neural network well. Among them, the MAE and MSE were reduced by 0.02, and the RMSE error was reduced from 0.215 to 0.16. Therefore, the model can detect the theft behavior well, which provides a certain reference value for the research of anti-theft.

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

Citation Download Citation

Lingji Kong, Xinmeng Wang, Haiqi Li, Chengnan Zhao, and Junqiang Tian "Based on WOA-BP neural network power the behavior detection", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130900Z (8 April 2024); https://doi.org/10.1117/12.3025579

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