Sir, How to implement cross validation methods such as k fold and leave one out with back propogation network... i have tried with SVm works good.. but dont know how to merge k fold with bpn... .. thanks
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I am not a nnet expert, but I am under the impression that your inputs should have one column per observation (rather than one row as in the Statistics Toolbox). If that is the case you may need to use "train" and "test" to index into columns rather than rows. Also, I believe traingd wants training set target values as its third input, not X data for the test set.