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/mdninit.htm | 50 +++++++++++++++++++++++++++
1 file changed, 50 insertions(+)
create mode 100644 sourcecodes/bnt-master/nethelp3.3/mdninit.htm
(limited to 'sourcecodes/bnt-master/nethelp3.3/mdninit.htm')
diff --git a/sourcecodes/bnt-master/nethelp3.3/mdninit.htm b/sourcecodes/bnt-master/nethelp3.3/mdninit.htm
new file mode 100644
index 00000000..9e205c51
--- /dev/null
+++ b/sourcecodes/bnt-master/nethelp3.3/mdninit.htm
@@ -0,0 +1,50 @@
+
+
+
+Netlab Reference Manual mdninit
+
+
+
+ mdninit
+
+
+Purpose
+
+Initialise the weights in a Mixture Density Network.
+
+
+Synopsis
+
+
+net = mdninit(net, prior)
+net = mdninit(net, prior, t, options)
+
+
+
+
+Description
+
+
+net = mdninit(net, prior) takes a Mixture Density Network
+net and sets the weights and biases by sampling from a Gaussian
+distribution. It calls mlpinit for the MLP component of net.
+
+
net = mdninit(net, prior, t, options) uses the target data t to
+initialise the biases for the output units after initialising the
+other weights as above. It calls gmminit, with t and options
+as arguments, to obtain a model of the unconditional density of t. The
+biases are then set so that net will output the values in the Gaussian
+mixture model.
+
+
+See Also
+
+mdn, mlp, mlpinit, gmminit
+Pages:
+Index
+
+Copyright (c) Ian T Nabney (1996-9)
+
David J Evans (1998)
+
+
+
\ No newline at end of file
--
cgit 1.4.1