From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: BNW using Octave instead of Matlab. This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02 --- sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm | 44 ++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm b/sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm new file mode 100644 index 00000000..f9c0438a --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/rbfderiv.htm @@ -0,0 +1,44 @@ + + + +Netlab Reference Manual rbfderiv + + + +

rbfderiv +

+Purpose +

+Evaluate derivatives of RBF network outputs with respect to weights. + +

+Synopsis +

+g = rbfderiv(net, x)

+ + +

+Description +

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

+See Also +

+rbf, rbfpak, rbfgrad, rbfbkp

+Pages: +Index +