Radial basis function network: Difference between revisions

Revision as of 13:44, 25 October 2007

Revision as of 20:29, 25 October 2007

Line 174:

where the entries of ''G'' are the values of the radial basis functions evaluated at the points <math>x_i</math>: <math>g_{ji} = \rho(||x_j-c_i||)</math>.

The existence of this linear solution means that unlike [[Artificial_neural_network#Multi-layer_perceptron|Multi-layerLayer perceptronPerceptron (MLP) networks]] the RBF networks have an unique local minimum (when the centers are fixed).

====Gradient descent training of the linear weights====