linearunit.html

数据挖掘的最常用工具。由于开源

 and also update them.</TD>
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<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
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<TD><CODE>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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<A NAME="LinearUnit()"><!-- --></A><H3>
LinearUnit</H3>
<PRE>
public <B>LinearUnit</B>()</PRE>
<DL>
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<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>&nbsp;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>
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<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>&nbsp;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>
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<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>&nbsp;node,
                          double&nbsp;learn,
                          double&nbsp;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>
<HR>

<A NAME="getRevision()"><!-- --></A><H3>
getRevision</H3>
<PRE>
public java.lang.String <B>getRevision</B>()</PRE>
<DL>
<DD>Returns the revision string.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/RevisionHandler.html#getRevision()">getRevision</A></CODE> in interface <CODE><A HREF="../../../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the revision</DL>
</DD>
</DL>
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