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/gtm.htm | 66 +++++++++++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/gtm.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/gtm.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/gtm.htm b/sourcecodes/bnt-master/nethelp3.3/gtm.htm new file mode 100644 index 00000000..e02ef536 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/gtm.htm @@ -0,0 +1,66 @@ + + + +Netlab Reference Manual gtm + + + +

gtm +

+Purpose +

+Create a Generative Topographic Map. + +

+Synopsis +

+net = gtm(dimlatent, nlatent, dimdata, ncentres, rbfunc)
+net = gtm(dimlatent, nlatent, dimdata, ncentres, rbfunc, prior)
+

+ + +

+Description +

+ +

net = gtm(dimlatent, nlatent, dimdata, ncentres, rbfunc), +takes the dimension of the latent space dimlatent, the +number of data points sampled in the latent space nlatent, the +dimension of the data space dimdata, the number of centres in the +RBF model ncentres, the activation function for the RBF +rbfunc +and returns a data structure net. The parameters in the +RBF and GMM sub-models are set by calls to the corresponding creation routines +rbf and gmm. + +

The fields in net are +

+  type = 'gtm'
+  nin = dimension of data space
+  dimlatent = dimension of latent space
+  rbfnet = RBF network data structure
+  gmmnet = GMM data structure
+  X = sample of latent points
+

+ + +

net = gtm(dimlatent, nlatent, dimdata, ncentres, rbfunc, prior), + sets a Gaussian zero mean prior on the +parameters of the RBF model. prior must be a scalar and represents +the inverse variance of the prior distribution. This gives rise to +a weight decay term in the error function. + +

+See Also +

+gtmfwd, gtmpost, rbf, gmm

+Pages: +Index +