train Neural Network Actor/Critic type using PSO

Version 1.0 (175 KB) by Ahmed raafat
Hello
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Updated 7 Feb 2025
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in this project , using PSO algorithm to train neural network Actor-Ciritic model based .
the Network controls electrical system , objective function is to optimize err1 ( DC voltage - DC refrence ) and err2 ( THD minimization )
The results is to big to upload on github , I will upload it on media fire
https://www.mediafire.com/file/if5b2sgodd5q1zx/bst_run.mat/file
if your matlab version less than 2024b , you can rename the simulink project ending with 2018 by deleting the 2018 from the project
For any Questions please send it to me
eng.abo.lregal@gmail.com

Cite As

Ahmed raafat (2026). train Neural Network Actor/Critic type using PSO (https://github.com/AboLregal/train_actor_critic_pso/releases/tag/1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2024b
Compatible with R2018a and later releases
Platform Compatibility
Windows macOS Linux
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1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.