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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN""http://www.w3.org/TR/html4/loose.dtd"><HTML><HEAD><TITLE>Activation Functions</TITLE><link href="../style.css" rel="stylesheet" type="text/css"><METANAME="GENERATOR"CONTENT="Modular DocBook HTML Stylesheet Version 1.79"><LINKREL="HOME"TITLE="Fast Artificial Neural Network Library"HREF="index.html"><LINKREL="UP"TITLE="Constants"HREF="x1994.html"><LINKREL="PREVIOUS"TITLE="Training algorithms"HREF="r1996.html"><LINKREL="NEXT"TITLE="Training Error Functions"HREF="r2077.html"></HEAD><BODYCLASS="refentry"BGCOLOR="#FFFFFF"TEXT="#000000"LINK="#0000FF"VLINK="#840084"ALINK="#0000FF"><DIVCLASS="NAVHEADER"><TABLESUMMARY="Header navigation table"WIDTH="100%"BORDER="0"CELLPADDING="0"CELLSPACING="0"><TR><THCOLSPAN="3"ALIGN="center">Fast Artificial Neural Network Library</TH></TR><TR><TDWIDTH="10%"ALIGN="left"VALIGN="bottom"><AHREF="r1996.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r2077.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="api.sec.constants.activation"></A>Activation Functions</H1><DIVCLASS="refnamediv"><ANAME="AEN2031"></A><H2>Name</H2>Activation Functions&nbsp;--&nbsp;Constants representing activation functions.</DIV><DIVCLASS="refsect1"><ANAME="AEN2034"></A><H2>Description</H2><P>&#13;	    These constants represent the activation functions available within the fann library.	    The list will grow over time, but probably not shrink.	  </P><P></P><DIVCLASS="variablelist"><P><B>Constants</B></P><DL><DT>FANN_THRESHOLD</DT><DD><P>&#13;		  <SPANCLASS="emphasis"><ICLASS="emphasis">Execution only</I></SPAN> - Threshold activation function.		</P><P> This activation function gives output that is either 0 or 1.</P></DD><DT>FANN_THRESHOLD_SYMMETRIC</DT><DD><P>&#13;		  <SPANCLASS="emphasis"><ICLASS="emphasis">Execution only</I></SPAN> - Threshold activation function.		</P><P> This activation function gives output that is either -1 or 1.</P></DD><DT>FANN_LINEAR</DT><DD><P>&#13;		  <SPANCLASS="emphasis"><ICLASS="emphasis">Can not be used in fixed point</I></SPAN> - Linear activation function.		</P><P> This activation function gives output that is unbounded.</P></DD><DT>FANN_SIGMOID</DT><DD><P>&#13;		  Sigmoid activation function. One of the most used activation functions.		</P><P> This activation function gives output that is between 0 and 1.</P></DD><DT>FANN_SIGMOID_STEPWISE</DT><DD><P>&#13;		  Stepwise linear approximation to sigmoid. Faster than sigmoid but a bit less precise.		</P><P> This activation function gives output that is between 0 and 1.</P></DD><DT>FANN_SIGMOID_SYMMETRIC</DT><DD><P>&#13;		  Symmetric sigmoid activation function, AKA tanh. One of the most used activation functions.		</P><P> This activation function gives output that is between -1 and 1.</P></DD><DT>FANN_SIGMOID_SYMMETRIC_STEPWISE</DT><DD><P>&#13;		  Stepwise linear approximation to symmetric sigmoid. Faster than symmetric sigmoid but a bit less precise.		</P><P> This activation function gives output that is between -1 and 1.</P></DD></DL></DIV></DIV><DIVCLASS="NAVFOOTER"><HRALIGN="LEFT"WIDTH="100%"><TABLESUMMARY="Footer navigation table"WIDTH="100%"BORDER="0"CELLPADDING="0"CELLSPACING="0"><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top"><AHREF="r1996.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="index.html"ACCESSKEY="H">Home</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top"><AHREF="r2077.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">Training algorithms</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="x1994.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">Training Error Functions</TD></TR></TABLE></DIV></BODY></HTML>

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