Radial basis function network: Difference between revisions

Revision as of 16:56, 10 March 2007

Revision as of 08:34, 27 March 2007

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==Training==

In a RBF network there are three types of parameters that need to be chosen to adapt the network for a particular task: the center vectors <math>c_i</math>, the output weights <math>w_i</math>, and the RBF width parameters <math>/\beta_i</math>. In the sequential training of the weights are updated at each time step as data streams in.

For some tasks it makes sense to define an objective function and select the parameter values that minimize it's value. The most common objective function is the least squares function