Radial basis function network: Difference between revisions

Revision as of 18:04, 17 July 2007

Revision as of 18:05, 17 July 2007

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

Another possible training algorithm is [[gradient descent]]. In gradient descent training, the weights are adjusted at each time step by moving them in a direction opposite from the gradient of the objective function

:<math> \mathbf{w}(t+1) = \mathbf{w}(t) - \nu \frac {d} {d\mathbf{w}} H_t(\mathbf{w}) </math>