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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN""http://www.w3.org/TR/REC-html40/frameset.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc on Wed Sep 04 10:31:50 CDT 2002 --><TITLE>: Class SigmoidUnit</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"></HEAD><BODY BGCOLOR="white"><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_top"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3"> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT 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FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | 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><!-- =========== END OF NAVBAR =========== --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers.neural</FONT><BR>Class SigmoidUnit</H2><PRE>java.lang.Object | +--<B>weka.classifiers.neural.SigmoidUnit</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A>, java.io.Serializable</DD></DL><HR><DL><DT>public class <B>SigmoidUnit</B><DT>extends java.lang.Object<DT>implements <A HREF="../../../weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A></DL><P>This can be used by the neuralnode to perform all it's computations (as a sigmoid unit).<P><DL><DT><B>See Also: </B><DD><A HREF="../../../serialized-form.html#weka.classifiers.neural.SigmoidUnit">Serialized Form</A></DL><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../weka/classifiers/neural/SigmoidUnit.html#SigmoidUnit()">SigmoidUnit</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></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/neural/SigmoidUnit.html#errorValue(weka.classifiers.neural.NeuralNode)">errorValue</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">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/neural/SigmoidUnit.html#outputValue(weka.classifiers.neural.NeuralNode)">outputValue</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">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/neural/SigmoidUnit.html#updateWeights(weka.classifiers.neural.NeuralNode, double, double)">updateWeights</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">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" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class java.lang.Object</B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="SigmoidUnit()"><!-- --></A><H3>SigmoidUnit</H3><PRE>public <B>SigmoidUnit</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></TR></TABLE><A NAME="outputValue(weka.classifiers.neural.NeuralNode)"><!-- --></A><H3>outputValue</H3><PRE>public double <B>outputValue</B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">NeuralNode</A> node)</PRE><DL><DD>This function calculates what the output value should be.<DD><DL><DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html#outputValue(weka.classifiers.neural.NeuralNode)">outputValue</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html">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.neural.NeuralNode)"><!-- --></A><H3>errorValue</H3><PRE>public double <B>errorValue</B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">NeuralNode</A> node)</PRE><DL><DD>This function calculates what the error value should be.<DD><DL><DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html#errorValue(weka.classifiers.neural.NeuralNode)">errorValue</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html">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.neural.NeuralNode, double, double)"><!-- --></A><H3>updateWeights</H3><PRE>public void <B>updateWeights</B>(<A HREF="../../../weka/classifiers/neural/NeuralNode.html">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.<DD><DL><DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html#updateWeights(weka.classifiers.neural.NeuralNode, double, double)">updateWeights</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/neural/NeuralMethod.html">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><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_bottom"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" 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