wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual rbfderiv wolffd@0: wolffd@0: wolffd@0: wolffd@0:

rbfderiv wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate derivatives of RBF network outputs with respect to weights. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: g = rbfderiv(net, x)

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wolffd@0: Description wolffd@0:

wolffd@0: g = rbfderiv(net, x) takes a network data structure net wolffd@0: and a matrix of input vectors x and returns a three-index matrix wolffd@0: g whose i, j, k element contains the wolffd@0: derivative of network output k with respect to weight or bias wolffd@0: parameter j for input pattern i. The ordering of the wolffd@0: weight and bias parameters is defined by rbfunpak. This wolffd@0: function also takes into account any mask in the network data structure. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: rbf, rbfpak, rbfgrad, rbfbkp

wolffd@0: Pages: wolffd@0: Index wolffd@0:

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