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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>Interface NeuralMethod</H2><DL><DT><B>All Superinterfaces:</B> <DD>java.io.Serializable</DD></DL><DL><DT><B>All Known Implementing Classes:</B> <DD><A HREF="../../../../weka/classifiers/functions/neural/LinearUnit.html" title="class in weka.classifiers.functions.neural">LinearUnit</A>, <A HREF="../../../../weka/classifiers/functions/neural/SigmoidUnit.html" title="class in weka.classifiers.functions.neural">SigmoidUnit</A></DD></DL><HR><DL><DT>public interface <B>NeuralMethod</B><DT>extends java.io.Serializable</DL><P>This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.<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></DL><HR><P><!-- ======== NESTED CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><!-- ======== CONSTRUCTOR SUMMARY ======== --><!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><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/functions/neural/NeuralMethod.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/NeuralMethod.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/NeuralMethod.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> <P><!-- ============ FIELD DETAIL =========== --><!-- ========= CONSTRUCTOR DETAIL ======== --><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></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></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></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></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 BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=3 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <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" 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