|Code Listing by Anshuman Gupta|
The training input vectors and target vectors are read from files data1in and data1out respectively. The no of nodes in input and output layer is decided depending on the no. of rows in these datasets.
The no of hidden layers, No of nodes in each hidden layer and the target error (put 0.1) is to be input by the user.
Learning curve is plotted after every 100 epochs.
Learning factor can be varied using the slider at the...
The code implements the algorithm as given in Chen et. al 1991.It takes max tolerance from the user.It selects Ms significant regressors from the total M regressors.
Unfortunately, the error obtained after training the RBF network isn't as...
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