improve the performance of nprtool
I used the neural network toolbox ( nprtool ) for classifying my objects. i used 75% of data for training and 15% for both validation and testing.also i considered 50 neurons for hidden layers. the progress stops because of validation checks (at 6). how can i improve the performance of this network? i couldn't find out how to change validation check or gradient ,....if you have any suggestion i will be very appreciate to hear that.
John Michell answered .
2025-11-20
Insufficient information
Which of the MATLAB classification example datasets are you using? help nndatasets doc nndatasets Number of classes c =? Input vector dimensionality I = 1 Number of examples N = ? [ I N ] = size(input) [ O N ] = size(target)% O = c Default 70/15/15 data division? (75/15/15 doesn't add to 100)
greg patternnet Ntrials Sorry I can't give you much advice on how to optimize the use of nprtool. However, consulting my command line code should be more than worthwhile.