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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/netevfwd.htm
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
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
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+<html>
+<head>
+<title>
+Netlab Reference Manual netevfwd
+</title>
+</head>
+<body>
+<H1> netevfwd
+</H1>
+<h2>
+Purpose
+</h2>
+Generic forward propagation with evidence for network
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+
+[y, extra] = netevfwd(w, net, x, t, x_test)
+[y, extra, invhess] = netevfwd(w, net, x, t, x_test, invhess)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+<CODE>[y, extra] = netevfwd(w, net, x, t, x_test)</CODE> takes a network data 
+structure 
+<CODE>net</CODE> together with the input <CODE>x</CODE> and target <CODE>t</CODE> training data
+and input test data <CODE>x_test</CODE>.
+It returns the normal forward propagation through the network <CODE>y</CODE>
+together with a matrix <CODE>extra</CODE> which consists of error bars (variance)
+for a regression problem or moderated outputs for a classification problem.
+
+<p>The optional argument (and return value) 
+<CODE>invhess</CODE> is the inverse of the network Hessian
+computed on the training data inputs and targets.  Passing it in avoids
+recomputing it, which can be a significant saving for large training sets.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="mlpevfwd.htm">mlpevfwd</a></CODE>, <CODE><a href="rbfevfwd.htm">rbfevfwd</a></CODE>, <CODE><a href="glmevfwd.htm">glmevfwd</a></CODE>, <CODE><a href="fevbayes.htm">fevbayes</a></CODE><hr>
+<b>Pages:</b>
+<a href="index.htm">Index</a>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+
+
+</body>
+</html>
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