Radial basis function network: Difference between revisions

Revision as of 22:53, 5 November 2008

Revision as of 07:53, 1 December 2008

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and

:

:<math> P \left ( y \right ) = \int P \left ( \mathbf{x} \land y \right ) \, d^n \mathbf{x} = {1 \over N} \sum_{i=1}^N \, \sigma \big ( \left \vert y - e_i \right \vert \big ) </math>

The expectation of y given an input <math> \mathbf{x} </math> is