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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_10) on Fri Jan 26 16:34:43 NZDT 2007 --><TITLE>LinearUnit</TITLE><META NAME="keywords" CONTENT="weka.classifiers.functions.neural.LinearUnit class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="LinearUnit";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD 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SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers.functions.neural</FONT><BR>Class LinearUnit</H2><PRE>java.lang.Object <IMG SRC="../../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.functions.neural.LinearUnit</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable, <A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html" title="interface in weka.classifiers.functions.neural">NeuralMethod</A></DD></DL><HR><DL><DT><PRE>public class <B>LinearUnit</B><DT>extends java.lang.Object<DT>implements <A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html" title="interface in weka.classifiers.functions.neural">NeuralMethod</A></DL></PRE><P>This can be used by the neuralnode to perform all it's computations (as a Linear unit).<P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.4 $</DD><DT><B>Author:</B></DT> <DD>Malcolm Ware (mfw4@cs.waikato.ac.nz)</DD><DT><B>See Also:</B><DD><A HREF="../../../../serialized-form.html#weka.classifiers.functions.neural.LinearUnit">Serialized Form</A></DL><HR><P><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/neural/LinearUnit.html#LinearUnit()">LinearUnit</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/neural/LinearUnit.html#errorValue(weka.classifiers.functions.neural.NeuralNode)">errorValue</A></B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node)</CODE><BR> This function calculates what the error value should be.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/neural/LinearUnit.html#outputValue(weka.classifiers.functions.neural.NeuralNode)">outputValue</A></B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node)</CODE><BR> This function calculates what the output value should be.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/neural/LinearUnit.html#updateWeights(weka.classifiers.functions.neural.NeuralNode, double, double)">updateWeights</A></B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node, double learn, double momentum)</CODE><BR> This function will calculate what the change in weights should be and also update them.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="LinearUnit()"><!-- --></A><H3>LinearUnit</H3><PRE>public <B>LinearUnit</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="outputValue(weka.classifiers.functions.neural.NeuralNode)"><!-- --></A><H3>outputValue</H3><PRE>public double <B>outputValue</B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node)</PRE><DL><DD>This function calculates what the output value should be.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html#outputValue(weka.classifiers.functions.neural.NeuralNode)">outputValue</A></CODE> in interface <CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html" title="interface in weka.classifiers.functions.neural">NeuralMethod</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>node</CODE> - The node to calculate the value for.<DT><B>Returns:</B><DD>The value.</DL></DD></DL><HR><A NAME="errorValue(weka.classifiers.functions.neural.NeuralNode)"><!-- --></A><H3>errorValue</H3><PRE>public double <B>errorValue</B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node)</PRE><DL><DD>This function calculates what the error value should be.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html#errorValue(weka.classifiers.functions.neural.NeuralNode)">errorValue</A></CODE> in interface <CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html" title="interface in weka.classifiers.functions.neural">NeuralMethod</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>node</CODE> - The node to calculate the error for.<DT><B>Returns:</B><DD>The error.</DL></DD></DL><HR><A NAME="updateWeights(weka.classifiers.functions.neural.NeuralNode, double, double)"><!-- --></A><H3>updateWeights</H3><PRE>public void <B>updateWeights</B>(<A HREF="../../../../weka/classifiers/functions/neural/NeuralNode.html" title="class in weka.classifiers.functions.neural">NeuralNode</A> node, double learn, double momentum)</PRE><DL><DD>This function will calculate what the change in weights should be and also update them.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html#updateWeights(weka.classifiers.functions.neural.NeuralNode, double, double)">updateWeights</A></CODE> in interface <CODE><A HREF="../../../../weka/classifiers/functions/neural/NeuralMethod.html" title="interface in weka.classifiers.functions.neural">NeuralMethod</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>node</CODE> - The node to update the weights for.<DD><CODE>learn</CODE> - The learning rate to use.<DD><CODE>momentum</CODE> - The momentum to use.</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- 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