wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual rbferr wolffd@0: wolffd@0: wolffd@0: wolffd@0:

rbferr wolffd@0:

wolffd@0:

wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate error function for RBF network. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0:
wolffd@0: e = rbferr(net, x, t)
wolffd@0: [e, edata, eprior] = rbferr(net, x, t)
wolffd@0: 
wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: e = rbferr(net, x, t) takes a network data structure net together wolffd@0: with a matrix x of input wolffd@0: vectors and a matrix t of target vectors, and evaluates the wolffd@0: appropriate error function e depending on net.outfn. wolffd@0: Each row of x corresponds to one wolffd@0: input vector and each row of t contains the corresponding target vector. wolffd@0: wolffd@0:

[e, edata, eprior] = rbferr(net, x, t) additionally returns the wolffd@0: data and prior components of the error, assuming a zero mean Gaussian wolffd@0: prior on the weights with inverse variance parameters alpha and wolffd@0: beta taken from the network data structure net. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: rbf, rbffwd, rbfgrad, rbfpak, rbftrain, rbfunpak
wolffd@0: Pages: wolffd@0: Index wolffd@0:
wolffd@0:

Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: