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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN"><HTML><HEAD>   <TITLE>Radial Basis Function Network</TITLE></HEAD><BODY BGCOLOR="#FFFFFF" LINK="#CC0000" VLINK="#CC0000"><CENTER><TABLE BORDER=1 CELLSPACING=0 CELLPADDING=0 HEIGHT="15%" BGCOLOR="#FDF5E6" ><TR><TD><B><FONT SIZE=+4> Radial Basis Function Network</FONT></B><IMG SRC="../../../images/java_duke_small.gif" HEIGHT=38 WIDTH=49 ALIGN=ABSCENTER></TD></TR></TABLE></CENTER><H3>Introduction</H3><P>This program demonstrates some function approximation capabilities ofa Radial Basis Function Network.</P><p> The user supplies a set of training pointswhich represent some &quot;sample&quot; points for some arbitrary curve.Next, the user specifies the number of equally spaced gaussian centersand the variance for the network. Using the training samples, the weightsmultiplying each of the gaussian basis functions arecalculated using thepseudo-inverse (yielding the minimum least-squares solution). The resultingnetwork is then used to approximate the function between the given &quot;sample&quot;points. </P><H3>Credits</H3><P>This Java applet (

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