Improved BP neural network based on genetic algorithm

Bibo Hu; Mei Peng; Chuili Hu; Hongying Liu

doi:10.1117/12.2692075

23 August 2023 Improved BP neural network based on genetic algorithm

Bibo Hu, Mei Peng, Chuili Hu, Hongying Liu

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127843A (2023) https://doi.org/10.1117/12.2692075
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

A BP neural network algorithm based on a genetic algorithm is proposed. This algorithm performs genetic evolutionary operations using the initial weights and thresholds of the BP neural network, optimizing the topology and learning parameters of the network, thereby enhancing network stability and optimization ability. Through comparative experiments, the findings demonstrate that when compared to the conventional BP neural network, the improvement algorithm has significantly improved the stability and optimization performance of the network.

Citation Download Citation

Bibo Hu, Mei Peng, Chuili Hu, and Hongying Liu "Improved BP neural network based on genetic algorithm", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127843A (23 August 2023); https://doi.org/10.1117/12.2692075

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