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K-FOLD CROSS-VALIDATION (BATCH)

version 1.0.0 (1.81 KB) by Arshad Afzal
K-FOLD CROSS-VALIDATION TO TRAIN RADIAL-BASIS NEURAL NETWORK MODEL IN MATLAB

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Updated 06 Jan 2020

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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'.

Cite As

Arshad Afzal (2021). K-FOLD CROSS-VALIDATION (BATCH) (https://www.mathworks.com/matlabcentral/fileexchange/73847-k-fold-cross-validation-batch), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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