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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:31 CEST 2008 --><TITLE>NeuralNetLearner (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="NeuralNetLearner (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_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" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="class-use/NeuralNetLearner.html"><FONT CLASS="NavBarFont1"><B>Use</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> PREV CLASS <A HREF="../../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetModel.html" title="class in com.rapidminer.operator.learner.functions.neuralnet"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../../../../index.html?com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html" target="_top"><B>FRAMES</B></A> <A HREF="NeuralNetLearner.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | <A HREF="#field_summary">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: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A 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">com.rapidminer.operator.learner.functions.neuralnet</FONT><BR>Class NeuralNetLearner</H2><PRE>java.lang.Object <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../com/rapidminer/operator/Operator.html" title="class in com.rapidminer.operator">com.rapidminer.operator.Operator</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../com/rapidminer/operator/learner/AbstractLearner.html" title="class in com.rapidminer.operator.learner">com.rapidminer.operator.learner.AbstractLearner</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../../../com/rapidminer/gui/wizards/ConfigurationListener.html" title="interface in com.rapidminer.gui.wizards">ConfigurationListener</A>, <A HREF="../../../../../../com/rapidminer/gui/wizards/PreviewListener.html" title="interface in com.rapidminer.gui.wizards">PreviewListener</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A>, <A HREF="../../../../../../com/rapidminer/parameter/ParameterHandler.html" title="interface in com.rapidminer.parameter">ParameterHandler</A>, <A HREF="../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A>, java.util.EventListener, org.joone.engine.NeuralNetListener</DD></DL><HR><DL><DT><PRE>public class <B>NeuralNetLearner</B><DT>extends <A HREF="../../../../../../com/rapidminer/operator/learner/AbstractLearner.html" title="class in com.rapidminer.operator.learner">AbstractLearner</A><DT>implements org.joone.engine.NeuralNetListener</DL></PRE><P><p>This operator learns a model by means of a feed-forward neural network. The learning is done via backpropagation. The user can define the structure of the neural network with the parameter list "hidden_layer_types". Each list entry describes a new hidden layer. The key of each entry must correspond to the layer type which must be one out of</p> <ul> <li>linear</li> <li>sigmoid (default)</li> <li>tanh</li> <li>sine</li> <li>logarithmic</li> <li>gaussian</li> </ul> <p>The key of each entry must be a number defining the size of the hidden layer. A size value of -1 or 0 indicates that the layer size should be calculated from the number of attributes of the input example set. In this case, the layer size will be set to (number of attributes + number of classes) / 2 + 1.</p> <p>If the user does not specify any hidden layers, a default hidden layer with sigmoid type and size (number of attributes + number of classes) / 2 + 1 will be created and added to the net.</p> <p>The type of the input nodes is sigmoid. The type of the output node is sigmoid is the learning data describes a classification task and linear for numerical regression tasks.</p><P><P><DL><DT><B>Version:</B></DT> <DD>$Id: NeuralNetLearner.java,v 1.7 2008/05/09 19:23:25 ingomierswa Exp $</DD><DT><B>Author:</B></DT> <DD>Ingo Mierswa</DD><DT><B>Keywords:</B></DT> <DD>Neural Net</DD></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html#PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE">PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE</A></B></CODE><BR> The parameter name for "The default size of hidden layers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html#PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE">PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE</A></B></CODE><BR> The parameter name for "The default layer type for the hidden layers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html#PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS">PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS</A></B></CODE><BR> The parameter name for "The number of hidden layers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetLearner.html#PARAMETER_ERROR_EPSILON">PARAMETER_ERROR_EPSILON</A></B></CODE><BR> The parameter name for "The optimization is stopped if the training error gets below this epsilon value.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD>⌨️ 快捷键说明
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