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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 NeuralNode</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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TARGET="_top"><B>FRAMES</B></A> <A HREF="NeuralNode.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | <A HREF="#fields_inherited_from_class_weka.classifiers.neural.NeuralConnection">FIELD</A> | <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 NeuralNode</H2><PRE>java.lang.Object | +--<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">weka.classifiers.neural.NeuralConnection</A> | +--<B>weka.classifiers.neural.NeuralNode</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable</DD></DL><HR><DL><DT>public class <B>NeuralNode</B><DT>extends <A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A></DL><P>This class is used to represent a node in the neuralnet.<P><DL><DT><B>See Also: </B><DD><A HREF="../../../serialized-form.html#weka.classifiers.neural.NeuralNode">Serialized Form</A></DL><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><A NAME="fields_inherited_from_class_weka.classifiers.neural.NeuralConnection"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Fields inherited from class weka.classifiers.neural.<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/neural/NeuralConnection.html#CONNECTED">CONNECTED</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#INPUT">INPUT</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_id">m_id</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_inputList">m_inputList</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_inputNums">m_inputNums</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_numInputs">m_numInputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_numOutputs">m_numOutputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_outputList">m_outputList</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_outputNums">m_outputNums</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_type">m_type</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_unitError">m_unitError</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_unitValue">m_unitValue</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_weightsUpdated">m_weightsUpdated</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_x">m_x</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#m_y">m_y</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#OUTPUT">OUTPUT</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#PURE_INPUT">PURE_INPUT</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#PURE_OUTPUT">PURE_OUTPUT</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#UNCONNECTED">UNCONNECTED</A></CODE></TD></TR></TABLE> <!-- ======== 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/NeuralNode.html#NeuralNode(java.lang.String, java.util.Random, weka.classifiers.neural.NeuralMethod)">NeuralNode</A></B>(java.lang.String id, java.util.Random r, <A HREF="../../../weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A> m)</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>protected void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNode.html#allocateInputs()">allocateInputs</A></B>()</CODE><BR> This will allocate more space for input connection information if the arrays for this have been filled up.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNode.html#connectInput(weka.classifiers.neural.NeuralConnection, int)">connectInput</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A> i, int n)</CODE><BR> This will connect the specified unit to be an input to this unit.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNode.html#disconnectInput(weka.classifiers.neural.NeuralConnection, int)">disconnectInput</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A> i, int n)</CODE><BR> This will disconnect the input with the specific connection number From this node (only on this end however).</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/NeuralNode.html#errorValue(boolean)">errorValue</A></B>(boolean calculate)</CODE><BR> Call this to get the error value of this unit.</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/NeuralNode.html#getChangeInWeights()">getChangeInWeights</A></B>()</CODE><BR> call this function to get the chnage in weights array.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNode.html#getMethod()">getMethod</A></B>()</CODE><BR> </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/NeuralNode.html#getWeights()">getWeights</A></B>()</CODE><BR> call this function to get the weights array.</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/NeuralNode.html#outputValue(boolean)">outputValue</A></B>(boolean calculate)</CODE><BR> Call this to get the output value of this unit.</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/NeuralNode.html#removeAllInputs()">removeAllInputs</A></B>()</CODE><BR> This function will remove all the inputs to this unit.</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/NeuralNode.html#reset()">reset</A></B>()</CODE><BR> Call this to reset the value and error for this unit, ready for the next run.</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/NeuralNode.html#setMethod(weka.classifiers.neural.NeuralMethod)">setMethod</A></B>(<A HREF="../../../weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A> m)</CODE><BR> Set how this node should operate (note that the neural method has no internal state, so the same object can be used by any number of nodes.</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/NeuralNode.html#updateWeights(double, double)">updateWeights</A></B>(double l, double m)</CODE><BR> Call this function to update the weight values at this unit.</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/NeuralNode.html#weightValue(int)">weightValue</A></B>(int n)</CODE><BR> Call this to get the weight value on a particular connection.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.neural.NeuralConnection"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class weka.classifiers.neural.<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/neural/NeuralConnection.html#allocateOutputs()">allocateOutputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#changeInputNum(int, int)">changeInputNum</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#changeOutputNum(int, int)">changeOutputNum</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#connect(weka.classifiers.neural.NeuralConnection, weka.classifiers.neural.NeuralConnection)">connect</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#connectOutput(weka.classifiers.neural.NeuralConnection, int)">connectOutput</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#disconnect(weka.classifiers.neural.NeuralConnection, weka.classifiers.neural.NeuralConnection)">disconnect</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#disconnectOutput(weka.classifiers.neural.NeuralConnection, int)">disconnectOutput</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#drawHighlight(java.awt.Graphics, int, int)">drawHighlight</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#drawInputLines(java.awt.Graphics, int, int)">drawInputLines</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#drawNode(java.awt.Graphics, int, int)">drawNode</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#drawOutputLines(java.awt.Graphics, int, int)">drawOutputLines</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getId()">getId</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getInputNums()">getInputNums</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getInputs()">getInputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getNumInputs()">getNumInputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getNumOutputs()">getNumOutputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getOutputNums()">getOutputNums</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getOutputs()">getOutputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getType()">getType</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getX()">getX</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#getY()">getY</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#onUnit(java.awt.Graphics, int, int, int, int)">onUnit</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#removeAllOutputs()">removeAllOutputs</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#setType(int)">setType</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#setX(double)">setX</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#setY(double)">setY</A></CODE></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 =========== -->⌨️ 快捷键说明
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