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diff --git a/sourcecodes/bnt-master/nethelp3.3/demrbf1.htm b/sourcecodes/bnt-master/nethelp3.3/demrbf1.htm new file mode 100644 index 00000000..6c36ed49 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demrbf1.htm @@ -0,0 +1,47 @@ +<html> +<head> +<title> +Netlab Reference Manual demrbf1 +</title> +</head> +<body> +<H1> demrbf1 +</H1> +<h2> +Purpose +</h2> +Demonstrate simple regression using a radial basis function network. + +<p><h2> +Synopsis +</h2> +<PRE> +demrbf1</PRE> + + +<p><h2> +Description +</h2> +The problem consists of one input variable <CODE>x</CODE> and one target variable +<CODE>t</CODE> with data generated by sampling <CODE>x</CODE> at equal intervals and then +generating target data by computing <CODE>sin(2*pi*x)</CODE> and adding Gaussian +noise. This data is the same as that used in demmlp1. + +<p>Three different RBF networks (with different activation functions) +are trained in two stages. First, a Gaussian mixture model is trained using +the EM algorithm, and the centres of this model are used to set the centres +of the RBF. Second, the output weights (and biases) are determined using the +pseudo-inverse of the design matrix. + +<p><h2> +See Also +</h2> +<CODE><a href="demmlp1.htm">demmlp1</a></CODE>, <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmem.htm">gmmem</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) + + +</body> +</html> \ No newline at end of file |