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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_train_on_file</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="Training Data"HREF="x609.html"><LINKREL="PREVIOUS"TITLE="fann_train_on_data_callback"HREF="r761.html"><LINKREL="NEXT"TITLE="fann_train_on_file_callback"HREF="r841.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="r761.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r841.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="api.fann_train_on_file"></A>fann_train_on_file</H1><DIVCLASS="refnamediv"><ANAME="AEN807"></A><H2>Name</H2>fann_train_on_file&nbsp;--&nbsp;Train an ANN.</DIV><DIVCLASS="refsect1"><ANAME="AEN810"></A><H2>Description</H2><codeclass="methodsynopsis">&#13;  <spanclass="type">void </span>fann_train_on_file(<spanclass="methodparam"><spanclass="type">struct fann * </span><spanclass="parameter">ann</span></span><spanclass="methodparam">, <spanclass="type">char * </span><spanclass="parameter">filename</span></span><spanclass="methodparam">, <spanclass="type">unsigned int </span><spanclass="parameter">max_epochs</span></span><spanclass="methodparam">, <spanclass="type">unsigned int </span><spanclass="parameter">epochs_between_reports</span></span><spanclass="methodparam">, <spanclass="type">float </span><spanclass="parameter">desired_error</span></span>);&#13;</code><P>&#13;	    Trains <CODECLASS="parameter">ann</CODE> using the data in <CODECLASS="parameter">filename</CODE> until	    <CODECLASS="parameter">desired_error</CODE> is reached, or until <CODECLASS="parameter">max_epochs</CODE> is surpassed.	  </P><P>&#13;	    The training algorithm used by this function is chosen by the 	    <AHREF="r972.html"><CODECLASS="function">fann_set_training_algorithm</CODE></A> 	    function. The default training algorithm is <AHREF="r1996.html"><CODECLASS="constant">FANN_TRAIN_RPROP</CODE></A>.	  </P><P>This function appears in FANN &#62;= 1.0.0.</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="r761.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="r841.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">fann_train_on_data_callback</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="x609.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">fann_train_on_file_callback</TD></TR></TABLE></DIV></BODY></HTML>
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