Anshuman Atyahoodotcom
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 expected. Is there a mistake in my code???Please feel free...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (43): Orthogonal Least Squares Algorithm for RBF Networks Download |
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...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (40): Back Propogation Algorithm Download |