Artificial neural networks-based modeling: Hidden layer optimization, k-fold validation, and y-scrambling test

Name: Artificial neural networks-based modeling: Hidden layer optimization, k-fold validation, and y-scrambling test
Creator: Elif Gungormus
Published: 2025-02-19T17:53:39.949Z
Keywords: Artificial Neural Network, Machine Learning Algorithm

Gungormus, Elif

doi:10.17632/schtykpwgb.1

Artificial neural networks-based modeling: Hidden layer optimization, k-fold validation, and y-scrambling test

Published: 19 February 2025| Version 1 | DOI: 10.17632/schtykpwgb.1

Contributor:

Elif Gungormus

Description

This dataset includes MATLAB scripts for training and evaluating artificial neural networks for multi-output regression problems. The provided codes cover hidden layer size optimization, K-fold cross-validation, and Y-scrambling test.

Artificial neural networks-based modeling: Hidden layer optimization, k-fold validation, and y-scrambling test

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