You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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
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 .
General Information
- Version 1.0 (175 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with R2018a and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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.
