neuralconnection.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

<DD><DL>
<DT><B>Parameters:</B><DD><CODE>y</CODE> - The new value for it's y pos.</DL>
</DD>
</DL>
<HR>

<A NAME="onUnit(java.awt.Graphics, int, int, int, int)"><!-- --></A><H3>
onUnit</H3>
<PRE>
public boolean <B>onUnit</B>(java.awt.Graphics&nbsp;g,
                      int&nbsp;x,
                      int&nbsp;y,
                      int&nbsp;w,
                      int&nbsp;h)</PRE>
<DL>
<DD>Call this function to determine if the point at x,y is on the unit.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>g</CODE> - The graphics context for font size info.<DD><CODE>x</CODE> - The x coord.<DD><CODE>y</CODE> - The y coord.<DD><CODE>w</CODE> - The width of the display.<DD><CODE>h</CODE> - The height of the display.<DT><B>Returns:</B><DD>True if the point is on the unit, false otherwise.</DL>
</DD>
</DL>
<HR>

<A NAME="drawNode(java.awt.Graphics, int, int)"><!-- --></A><H3>
drawNode</H3>
<PRE>
public void <B>drawNode</B>(java.awt.Graphics&nbsp;g,
                     int&nbsp;w,
                     int&nbsp;h)</PRE>
<DL>
<DD>Call this function to draw the node.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>g</CODE> - The graphics context.<DD><CODE>w</CODE> - The width of the drawing area.<DD><CODE>h</CODE> - The height of the drawing area.</DL>
</DD>
</DL>
<HR>

<A NAME="drawHighlight(java.awt.Graphics, int, int)"><!-- --></A><H3>
drawHighlight</H3>
<PRE>
public void <B>drawHighlight</B>(java.awt.Graphics&nbsp;g,
                          int&nbsp;w,
                          int&nbsp;h)</PRE>
<DL>
<DD>Call this function to draw the node highlighted.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>g</CODE> - The graphics context.<DD><CODE>w</CODE> - The width of the drawing area.<DD><CODE>h</CODE> - The height of the drawing area.</DL>
</DD>
</DL>
<HR>

<A NAME="drawInputLines(java.awt.Graphics, int, int)"><!-- --></A><H3>
drawInputLines</H3>
<PRE>
public void <B>drawInputLines</B>(java.awt.Graphics&nbsp;g,
                           int&nbsp;w,
                           int&nbsp;h)</PRE>
<DL>
<DD>Call this function to draw the nodes input connections.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>g</CODE> - The graphics context.<DD><CODE>w</CODE> - The width of the drawing area.<DD><CODE>h</CODE> - The height of the drawing area.</DL>
</DD>
</DL>
<HR>

<A NAME="drawOutputLines(java.awt.Graphics, int, int)"><!-- --></A><H3>
drawOutputLines</H3>
<PRE>
public void <B>drawOutputLines</B>(java.awt.Graphics&nbsp;g,
                            int&nbsp;w,
                            int&nbsp;h)</PRE>
<DL>
<DD>Call this function to draw the nodes output connections.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>g</CODE> - The graphics context.<DD><CODE>w</CODE> - The width of the drawing area.<DD><CODE>h</CODE> - The height of the drawing area.</DL>
</DD>
</DL>
<HR>

<A NAME="connectInput(weka.classifiers.neural.NeuralConnection, int)"><!-- --></A><H3>
connectInput</H3>
<PRE>
protected boolean <B>connectInput</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;i,
                               int&nbsp;n)</PRE>
<DL>
<DD>This will connect the specified unit to be an input to this unit.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>i</CODE> - The unit.<DD><CODE>n</CODE> - It's connection number for this connection.<DT><B>Returns:</B><DD>True if the connection was made, false otherwise.</DL>
</DD>
</DL>
<HR>

<A NAME="allocateInputs()"><!-- --></A><H3>
allocateInputs</H3>
<PRE>
protected void <B>allocateInputs</B>()</PRE>
<DL>
<DD>This will allocate more space for input connection information
 if the arrays for this have been filled up.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="connectOutput(weka.classifiers.neural.NeuralConnection, int)"><!-- --></A><H3>
connectOutput</H3>
<PRE>
protected boolean <B>connectOutput</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;o,
                                int&nbsp;n)</PRE>
<DL>
<DD>This will connect the specified unit to be an output to this unit.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>o</CODE> - The unit.<DD><CODE>n</CODE> - It's connection number for this connection.<DT><B>Returns:</B><DD>True if the connection was made, false otherwise.</DL>
</DD>
</DL>
<HR>

<A NAME="allocateOutputs()"><!-- --></A><H3>
allocateOutputs</H3>
<PRE>
protected void <B>allocateOutputs</B>()</PRE>
<DL>
<DD>Allocates more space for output connection information
 if the arrays have been filled up.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="disconnectInput(weka.classifiers.neural.NeuralConnection, int)"><!-- --></A><H3>
disconnectInput</H3>
<PRE>
protected boolean <B>disconnectInput</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;i,
                                  int&nbsp;n)</PRE>
<DL>
<DD>This will disconnect the input with the specific connection number
 From this node (only on this end however).<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>i</CODE> - The unit to disconnect.<DD><CODE>n</CODE> - The connection number at the other end, -1 if all the connections
 to this unit should be severed.<DT><B>Returns:</B><DD>True if the connection was removed, false if the connection was 
 not found.</DL>
</DD>
</DL>
<HR>

<A NAME="removeAllInputs()"><!-- --></A><H3>
removeAllInputs</H3>
<PRE>
public void <B>removeAllInputs</B>()</PRE>
<DL>
<DD>This function will remove all the inputs to this unit.
 In doing so it will also terminate the connections at the other end.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="changeInputNum(int, int)"><!-- --></A><H3>
changeInputNum</H3>
<PRE>
protected void <B>changeInputNum</B>(int&nbsp;n,
                              int&nbsp;v)</PRE>
<DL>
<DD>Changes the connection value information for one of the connections.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>n</CODE> - The connection number to change.<DD><CODE>v</CODE> - The value to change it to.</DL>
</DD>
</DL>
<HR>

<A NAME="disconnectOutput(weka.classifiers.neural.NeuralConnection, int)"><!-- --></A><H3>
disconnectOutput</H3>
<PRE>
protected boolean <B>disconnectOutput</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;o,
                                   int&nbsp;n)</PRE>
<DL>
<DD>This will disconnect the output with the specific connection number
 From this node (only on this end however).<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>o</CODE> - The unit to disconnect.<DD><CODE>n</CODE> - The connection number at the other end, -1 if all the connections
 to this unit should be severed.<DT><B>Returns:</B><DD>True if the connection was removed, false if the connection was
 not found.</DL>
</DD>
</DL>
<HR>

<A NAME="removeAllOutputs()"><!-- --></A><H3>
removeAllOutputs</H3>
<PRE>
public void <B>removeAllOutputs</B>()</PRE>
<DL>
<DD>This function will remove all outputs to this unit.
 In doing so it will also terminate the connections at the other end.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="changeOutputNum(int, int)"><!-- --></A><H3>
changeOutputNum</H3>
<PRE>
protected void <B>changeOutputNum</B>(int&nbsp;n,
                               int&nbsp;v)</PRE>
<DL>
<DD>Changes the connection value information for one of the connections.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>n</CODE> - The connection number to change.<DD><CODE>v</CODE> - The value to change it to.</DL>
</DD>
</DL>
<HR>

<A NAME="getNumInputs()"><!-- --></A><H3>
getNumInputs</H3>
<PRE>
public int <B>getNumInputs</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>The number of input connections.</DL>
</DD>
</DL>
<HR>

<A NAME="getNumOutputs()"><!-- --></A><H3>
getNumOutputs</H3>
<PRE>
public int <B>getNumOutputs</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>The number of output connections.</DL>
</DD>
</DL>
<HR>

<A NAME="connect(weka.classifiers.neural.NeuralConnection, weka.classifiers.neural.NeuralConnection)"><!-- --></A><H3>
connect</H3>
<PRE>
public static boolean <B>connect</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;s,
                              <A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;t)</PRE>
<DL>
<DD>Connects two units together.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>s</CODE> - The source unit.<DD><CODE>t</CODE> - The target unit.<DT><B>Returns:</B><DD>True if the units were connected, false otherwise.</DL>
</DD>
</DL>
<HR>

<A NAME="disconnect(weka.classifiers.neural.NeuralConnection, weka.classifiers.neural.NeuralConnection)"><!-- --></A><H3>
disconnect</H3>
<PRE>
public static boolean <B>disconnect</B>(<A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;s,
                                 <A HREF="../../../weka/classifiers/neural/NeuralConnection.html">NeuralConnection</A>&nbsp;t)</PRE>
<DL>
<DD>Disconnects two units.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>s</CODE> - The source unit.<DD><CODE>t</CODE> - The target unit.<DT><B>Returns:</B><DD>True if the units were disconnected, false if they weren't
 (probably due to there being no connection).</DL>
</DD>
</DL>
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