annotate toolboxes/FullBNT-1.0.7/netlab3.3/rbfsetfw.m @ 0:cc4b1211e677 tip

initial commit to HG from Changeset: 646 (e263d8a21543) added further path and more save "camirversion.m"
author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 function net = rbfsetfw(net, scale)
Daniel@0 2 %RBFSETFW Set basis function widths of RBF.
Daniel@0 3 %
Daniel@0 4 % Description
Daniel@0 5 % NET = RBFSETFW(NET, SCALE) sets the widths of the basis functions of
Daniel@0 6 % the RBF network NET. If Gaussian basis functions are used, then the
Daniel@0 7 % variances are set to the largest squared distance between centres if
Daniel@0 8 % SCALE is non-positive and SCALE times the mean distance of each
Daniel@0 9 % centre to its nearest neighbour if SCALE is positive. Non-Gaussian
Daniel@0 10 % basis functions do not have a width.
Daniel@0 11 %
Daniel@0 12 % See also
Daniel@0 13 % RBFTRAIN, RBFSETBF, GMMEM
Daniel@0 14 %
Daniel@0 15
Daniel@0 16 % Copyright (c) Ian T Nabney (1996-2001)
Daniel@0 17
Daniel@0 18 % Set the variances to be the largest squared distance between centres
Daniel@0 19 if strcmp(net.actfn, 'gaussian')
Daniel@0 20 cdist = dist2(net.c, net.c);
Daniel@0 21 if scale > 0.0
Daniel@0 22 % Set variance of basis to be scale times average
Daniel@0 23 % distance to nearest neighbour
Daniel@0 24 cdist = cdist + realmax*eye(net.nhidden);
Daniel@0 25 widths = scale*mean(min(cdist));
Daniel@0 26 else
Daniel@0 27 widths = max(max(cdist));
Daniel@0 28 end
Daniel@0 29 net.wi = widths * ones(size(net.wi));
Daniel@0 30 end