Radial basis function network: Difference between revisions

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References: Ablowitz is not an author of the CUP book (I think he's series editor)
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A '''radial basis function network''' is an [[artificial neural network]] that uses [[radial basis function]]s as activation functions. It is a [[linear combination]] of radial basis functions. They are used in [[function approximation]], [[time series prediction]], and [[Control theory|control]].
 
==Network architecture==