How to train the neural network using RBF?
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Hi,
I am using Radial Basis Function for training the neural network.But during training using nntool, training option is disabled so i simulate the network.I want to know whether training is performed on RBF? If training not happends then how to test the data? Please help me to solve this problem...
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More Answers (1)
Greg Heath
on 12 Feb 2014
1. When you create newrb it automatically trains itself without the trn/val/set data division. Therefore, only include the training set in the call.
2. Standardize your regression data to zero-mean/unit-variance. Use a MSE goal 100 times smaller than the average variance of the target rows. Train many nets with different spreads in [ 0.1 10 ] and choose the net with the best holdout validation set performance.
3. For c-class classification the targets should be columns of the c-dimensional unit matrix eye(c)
4. Obtain an UNBIASED estimate of generalization (i.e., nontraining and nonvalidation) performance with the holdout test set.
5. If unsatisfactory, redivide into trn/val/tst sets and try again.
6. I have posted advice, directions and examples. Search the NEWSGROUP and ANSWERS using
greg newrb
6. Please post the addresses of any posts you find helpful.
Greg
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