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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>fann_create_shortcut</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="Creation, Destruction, and Execution"HREF="c253.html#api.sec.create_destroy"><LINKREL="PREVIOUS"TITLE="fann_create_array"HREF="r285.html"><LINKREL="NEXT"TITLE="fann_create_shortcut_array"HREF="r339.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="r285.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r339.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="api.fann_create_shortcut"></A>fann_create_shortcut</H1><DIVCLASS="refnamediv"><ANAME="AEN316"></A><H2>Name</H2>fann_create_shortcut&nbsp;--&nbsp;Create a new artificial neural network with shortcut connections, and return a pointer to it.</DIV><DIVCLASS="refsect1"><ANAME="AEN319"></A><H2>Description</H2><codeclass="methodsynopsis">&#13;  <spanclass="type">struct fann * </span>fann_create_shortcut(<spanclass="methodparam"><spanclass="type">float </span><spanclass="parameter">learning_rate</span></span><spanclass="methodparam">, <spanclass="type">unsigned int </span><spanclass="parameter">num_layers</span></span><spanclass="methodparam">, <spanclass="type">unsigned int </span><spanclass="parameter">...</span></span>);&#13;</code><P>&#13;            <CODECLASS="function">fann_create_shortcut</CODE> will create a new artificial neural network, and return	    a pointer to it. The network will be fully connected, and will furthermore have all shortcut 	    connections connected.	  </P><P>&#13;            Shortcut connections are connections that skip layers. A fully connected network with shortcut	    connections, is a network where all neurons are connected to all neurons in later layers. 	    Including direct connections from the input layer to the output layer.	  </P><P>&#13;	    The <CODECLASS="parameter">num_layers</CODE> is the number of layers including the input and	    output layer. This parameter is followed by one parameter for each layer telling how	    many neurons there should be in the layer.	  </P><P>This function appears in FANN &#62;= 1.2.0.</P></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="r285.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="r339.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">fann_create_array</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="c253.html#api.sec.create_destroy"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">fann_create_shortcut_array</TD></TR></TABLE></DIV></BODY></HTML>
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