How to get two separate set of predicted values of training and testing in ann without the code? Also for the anfis.

nntool box

Answer 1

[Ayush Aniket]

To obtain separate predicted values for training and testing datasets in ANN models in MATLAB, you typically rely on built-in tools or apps that handle data division and prediction automatically.

If you're using the Neural Network Toolbox or the Neural Fitting App:

• The toolbox automatically splits your data into training, validation, and testing sets based on specified ratios.
• After training, it stores the indices of each subset in the tr structure (e.g., tr.trainInd, tr.testInd).
• You can retrieve predicted outputs for each subset using the trained network and these indices.

For example:

trainPred = net(x(:, tr.trainInd)); testPred = net(x(:, tr.testInd)); 

This logic is embedded in the app-generated scripts, so you don’t need to write it manually if you use the GUI.