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/netunpak.htm | 46 ++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/netunpak.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/netunpak.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/netunpak.htm b/sourcecodes/bnt-master/nethelp3.3/netunpak.htm new file mode 100644 index 00000000..fef34ed7 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/netunpak.htm @@ -0,0 +1,46 @@ + + + +Netlab Reference Manual netunpak + + + +

netunpak +

+Purpose +

+Separates weights vector into weight and bias matrices. + +

+Synopsis +

+net = netunpak(net, w)
+

+ + +

+Description +

+net = netunpak(net, w) takes an net network data structure net and +a weight vector w, and returns a network data structure identical to +the input network, except that the componenet weight matrices have all +been set to the corresponding elements of w. If there is +a mask field in the net data structure, then the weights in +w are placed in locations corresponding to non-zero entries in the +mask (so w should have the same length as the number of non-zero +entries in the mask). + +

+See Also +

+netpak, netfwd, neterr, netgrad

+Pages: +Index +