Training Neural Networks Based on PSO Algorithm and BP Algorithm

Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP algorithm alone, and the PSO algorithm combined with BP algorithm are examined for the same signal. I...

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Bibliographic Details
Published in2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA) pp. 196 - 200
Main Author Gao, Darong
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.01.2025
Subjects
Approximation algorithms
BP algorithm
MATLAB
neural network
Neural networks
Optimization
Power electronics
PSO algorithm
Signal processing
Signal processing algorithms
Software
Software algorithms
Training
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DOI10.1109/ICPECA63937.2025.10928899

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Summary:Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP algorithm alone, and the PSO algorithm combined with BP algorithm are examined for the same signal. It is determined that the PSO algorithm in conjunction with the BP algorithm can enhance the network's learning efficiency and accelerate its convergence.
DOI:10.1109/ICPECA63937.2025.10928899