Artificial Neural Network Optimization

Version 1.0.0 (116 KB) by Amr Sadek
It generates several trials using specified or random ANN functions and measures the performance to determine the optimum one.
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Updated 15 Jul 2023

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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.
  1. The input and output shall be imported as vectors in the MATLAB workspace.
  2. The characteristics of the ANN models are set.
  3. Using the "Run" button to start the optimization.

Cite As

Amr Sadek (2024). Artificial Neural Network Optimization (https://www.mathworks.com/matlabcentral/fileexchange/132343-artificial-neural-network-optimization), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0