K-FOLD CROSS-VALIDATION (BATCH)

Version 1.0.0 (1,81 ko) par Arshad Afzal
K-FOLD CROSS-VALIDATION TO TRAIN RADIAL-BASIS NEURAL NETWORK MODEL IN MATLAB
0.0
(0)
178 téléchargements
Mise à jour 6 jan. 2020

Afficher la licence

Program to find Network parameter of a Radial-basis neural network model MATLAB function 'newrb' is used to train a neural network for a given data set.
The function has form net = newrb(Y, X, goal,spread).
spread (a network parameter) will affect the model performance.

The program can be used to obtain best value of 'Spread constant' for a given data set. A box-plot showing the variation in cross-validation error with spread constant is obtained. A designer may then analyse the plot to figure out the optimum 'spread constant'.

Citation pour cette source

Arshad Afzal (2024). K-FOLD CROSS-VALIDATION (BATCH) (https://www.mathworks.com/matlabcentral/fileexchange/73847-k-fold-cross-validation-batch), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Sequence and Numeric Feature Data Workflows dans Help Center et MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Publié le Notes de version
1.0.0