neuralnetwork.html

< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class

<PRE>
public java.util.Enumeration <B>listOptions</B>()</PRE>
<DL>
<DD>Returns an enumeration describing the available options<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#listOptions()">listOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an enumeration of all the available options</DL>
</DD>
</DL>
<HR>

<A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>
setOptions</H3>
<PRE>
public void <B>setOptions</B>(java.lang.String[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses a given list of options. Valid options are:<p>

 -L num <br>
 Set the learning rate.
 (default 0.3) <p>

 -M num <br>
 Set the momentum
 (default 0.2) <p>

 -N num <br>
 Set the number of epochs to train through.
 (default 500) <p>

 -V num <br>
 Set the percentage size of the validation set from the training to use.
 (default 0 (no validation set is used, instead num of epochs is used) <p>

 -S num <br>
 Set the seed for the random number generator.
 (default 0) <p>

 -E num <br>
 Set the threshold for the number of consequetive errors allowed during
 validation testing.
 (default 20) <p>

 -G <br>
 Bring up a GUI for the neural net.
 <p>

 -A <br>
 Do not automatically create the connections in the net.
 (can only be used if -G is specified) <p>

 -B <br>
 Do Not automatically Preprocess the instances with a nominal to binary 
 filter. <p>

 -H str <br>
 Set the number of nodes to be used on each layer. Each number represents
 its own layer and the num of nodes on that layer. Each number should be
 comma seperated. There are also the wildcards 'a', 'i', 'o', 't'
 (default 4) <p>

 -C <br>
 Do not automatically Normalize the class if it's numeric. <p>

 -I <br>
 Do not automatically Normalize the attributes. <p>

 -R <br>
 Do not allow the network to be automatically reset. <p>

 -D <br>
 Cause the learning rate to decay as training is done. <p><DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>Gets the current settings of NeuralNet.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#getOptions()">getOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions()</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>string describing the model.</DL>
</DD>
</DL>
<HR>

<A NAME="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<DD>This will return a string describing the classifier.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>The string.</DL>
</DD>
</DL>
<HR>

<A NAME="learningRateTipText()"><!-- --></A><H3>
learningRateTipText</H3>
<PRE>
public java.lang.String <B>learningRateTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the learning rate option.</DL>
</DD>
</DL>
<HR>

<A NAME="momentumTipText()"><!-- --></A><H3>
momentumTipText</H3>
<PRE>
public java.lang.String <B>momentumTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the momentum option.</DL>
</DD>
</DL>
<HR>

<A NAME="autoBuildTipText()"><!-- --></A><H3>
autoBuildTipText</H3>
<PRE>
public java.lang.String <B>autoBuildTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the AutoBuild option.</DL>
</DD>
</DL>
<HR>

<A NAME="randomSeedTipText()"><!-- --></A><H3>
randomSeedTipText</H3>
<PRE>
public java.lang.String <B>randomSeedTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the random seed option.</DL>
</DD>
</DL>
<HR>

<A NAME="validationThresholdTipText()"><!-- --></A><H3>
validationThresholdTipText</H3>
<PRE>
public java.lang.String <B>validationThresholdTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the validation threshold option.</DL>
</DD>
</DL>
<HR>

<A NAME="GUITipText()"><!-- --></A><H3>
GUITipText</H3>
<PRE>
public java.lang.String <B>GUITipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the GUI option.</DL>
</DD>
</DL>
<HR>

<A NAME="validationSetSizeTipText()"><!-- --></A><H3>
validationSetSizeTipText</H3>
<PRE>
public java.lang.String <B>validationSetSizeTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the validation size option.</DL>
</DD>
</DL>
<HR>

<A NAME="trainingTimeTipText()"><!-- --></A><H3>
trainingTimeTipText</H3>
<PRE>
public java.lang.String <B>trainingTimeTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the learning rate option.</DL>
</DD>
</DL>
<HR>

<A NAME="nominalToBinaryFilterTipText()"><!-- --></A><H3>
nominalToBinaryFilterTipText</H3>
<PRE>
public java.lang.String <B>nominalToBinaryFilterTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL>
</DD>
</DL>
<HR>

<A NAME="hiddenLayersTipText()"><!-- --></A><H3>
hiddenLayersTipText</H3>
<PRE>
public java.lang.String <B>hiddenLayersTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the hidden layers in the network.</DL>
</DD>
</DL>
<HR>

<A NAME="normalizeNumericClassTipText()"><!-- --></A><H3>
normalizeNumericClassTipText</H3>
<PRE>
public java.lang.String <B>normalizeNumericClassTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL>
</DD>
</DL>
<HR>

<A NAME="normalizeAttributesTipText()"><!-- --></A><H3>
normalizeAttributesTipText</H3>
<PRE>
public java.lang.String <B>normalizeAttributesTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL>
</DD>
</DL>
<HR>

<A NAME="resetTipText()"><!-- --></A><H3>
resetTipText</H3>
<PRE>
public java.lang.String <B>resetTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the Reset option.</DL>
</DD>
</DL>
<HR>

<A NAME="decayTipText()"><!-- --></A><H3>
decayTipText</H3>
<PRE>
public java.lang.String <B>decayTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string to describe the Decay option.</DL>
</DD>
</DL>
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