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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 NeuralNetwork.NeuralEnd</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"> 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TARGET="_top"><B>FRAMES</B></A> <A HREF="NeuralNetwork.NeuralEnd.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 NeuralNetwork.NeuralEnd</H2><PRE>java.lang.Object | +--<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">weka.classifiers.neural.NeuralConnection</A> | +--<B>weka.classifiers.neural.NeuralNetwork.NeuralEnd</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable</DD></DL><DL><DT><B>Enclosing class: </B><DD><A HREF="../../../weka/classifiers/neural/NeuralNetwork.html">NeuralNetwork</A></DD></DL><HR><DL><DT>protected class <B>NeuralNetwork.NeuralEnd</B><DT>extends <A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A></DL><P>This inner class is used to connect the nodes in the network up to the data that they are classifying, Note that objects of this class are only suitable to go on the attribute side or class side of the network and not both.<P><DL><DT><B>See Also: </B><DD><A HREF="../../../serialized-form.html#weka.classifiers.neural.NeuralNetwork.NeuralEnd">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/NeuralNetwork.NeuralEnd.html#NeuralNetwork.NeuralEnd(weka.classifiers.neural.NeuralNetwork, java.lang.String)">NeuralNetwork.NeuralEnd</A></B>(java.lang.String id)</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> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNetwork.NeuralEnd.html#drawHighlight(java.awt.Graphics, int, int)">drawHighlight</A></B>(java.awt.Graphics g, int w, int h)</CODE><BR> Call this function to draw the node highlighted.</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/NeuralNetwork.NeuralEnd.html#drawNode(java.awt.Graphics, int, int)">drawNode</A></B>(java.awt.Graphics g, int w, int h)</CODE><BR> This will draw the node id to the graphics context.</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/NeuralNetwork.NeuralEnd.html#errorValue(boolean)">errorValue</A></B>(boolean calculate)</CODE><BR> Call this to get the error value of this unit, which in this case is the difference between the predicted class, and the actual class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNetwork.NeuralEnd.html#getLink()">getLink</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/neural/NeuralNetwork.NeuralEnd.html#onUnit(java.awt.Graphics, int, int, int, int)">onUnit</A></B>(java.awt.Graphics g, int x, int y, int w, int h)</CODE><BR> Call this function to determine if the point at x,y is on the 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/NeuralNetwork.NeuralEnd.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/NeuralNetwork.NeuralEnd.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/NeuralNetwork.NeuralEnd.html#setLink(boolean, int)">setLink</A></B>(boolean input, int val)</CODE><BR> Call this function to set What this end unit represents.</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#allocateInputs()">allocateInputs</A>, <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#connectInput(weka.classifiers.neural.NeuralConnection, int)">connectInput</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#disconnectInput(weka.classifiers.neural.NeuralConnection, int)">disconnectInput</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#disconnectOutput(weka.classifiers.neural.NeuralConnection, int)">disconnectOutput</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#drawInputLines(java.awt.Graphics, int, int)">drawInputLines</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#removeAllInputs()">removeAllInputs</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>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#updateWeights(double, double)">updateWeights</A>, <A HREF="../../../weka/classifiers/neural/NeuralConnection.html#weightValue(int)">weightValue</A></CODE></TD></TR></TABLE>⌨️ 快捷键说明
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