This program demonstrates some function approximaTIon capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
The Bayesian Committee Machine (BCM) is an approximaTIon method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005
