Artificial Neural Network Optimization
It generates several trials using specified or random ANN functions and measures the performance to determine the optimum one.
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There is no a standard ANN model design that ensures an optimum perofrmance. Therefore, several trials using different functions until the optimum performance is approached.
- The input and output shall be imported as vectors in the MATLAB workspace.
- The characteristics of the ANN models are set.
- Using the "Run" button to start the optimization.
Cite As
Amr Sadek (2026). Artificial Neural Network Optimization (https://www.mathworks.com/matlabcentral/fileexchange/132343-artificial-neural-network-optimization), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (116 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
