<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <HTML ><HEAD ><TITLE >fann_train_on_file</TITLE ><link href="../style.css" rel="stylesheet" type="text/css"><META NAME="GENERATOR" CONTENT="Modular DocBook HTML Stylesheet Version 1.7"><LINK REL="HOME" TITLE="Fast Artificial Neural Network Library" HREF="index.html"><LINK REL="UP" TITLE="Training Data" HREF="x609.html"><LINK REL="PREVIOUS" TITLE="fann_train_on_data_callback" HREF="r761.html"><LINK REL="NEXT" TITLE="fann_train_on_file_callback" HREF="r841.html"></HEAD ><BODY CLASS="refentry" BGCOLOR="#FFFFFF" TEXT="#000000" LINK="#0000FF" VLINK="#840084" ALINK="#0000FF" ><DIV CLASS="NAVHEADER" ><TABLE SUMMARY="Header navigation table" WIDTH="100%" BORDER="0" CELLPADDING="0" CELLSPACING="0" ><TR ><TH COLSPAN="3" ALIGN="center" >Fast Artificial Neural Network Library</TH ></TR ><TR ><TD WIDTH="10%" ALIGN="left" VALIGN="bottom" ><A HREF="r761.html" ACCESSKEY="P" >Prev</A ></TD ><TD WIDTH="80%" ALIGN="center" VALIGN="bottom" ></TD ><TD WIDTH="10%" ALIGN="right" VALIGN="bottom" ><A HREF="r841.html" ACCESSKEY="N" >Next</A ></TD ></TR ></TABLE ><HR ALIGN="LEFT" WIDTH="100%"></DIV ><H1 ><A NAME="api.fann_train_on_file" ></A >fann_train_on_file</H1 ><DIV CLASS="refnamediv" ><A NAME="AEN807" ></A ><H2 >Name</H2 >fann_train_on_file -- Train an ANN.</DIV ><DIV CLASS="refsect1" ><A NAME="AEN810" ></A ><H2 >Description</H2 ><code class="methodsynopsis" > <span class="type" >void </span >fann_train_on_file(<span class="methodparam" ><span class="type" >struct fann * </span ><span class="parameter" >ann</span ></span ><span class="methodparam" >, <span class="type" >char * </span ><span class="parameter" >filename</span ></span ><span class="methodparam" >, <span class="type" >unsigned int </span ><span class="parameter" >max_epochs</span ></span ><span class="methodparam" >, <span class="type" >unsigned int </span ><span class="parameter" >epochs_between_reports</span ></span ><span class="methodparam" >, <span class="type" >float </span ><span class="parameter" >desired_error</span ></span >); </code ><P > Trains <VAR CLASS="parameter" >ann</VAR > using the data in <VAR CLASS="parameter" >filename</VAR > until <VAR CLASS="parameter" >desired_error</VAR > is reached, or until <VAR CLASS="parameter" >max_epochs</VAR > is surpassed. </P ><P > The training algorithm used by this function is chosen by the <A HREF="r972.html" ><CODE CLASS="function" >fann_set_training_algorithm</CODE ></A > function. The default training algorithm is <A HREF="r1996.html" ><CODE CLASS="constant" >FANN_TRAIN_RPROP</CODE ></A >. </P ><P >This function appears in FANN >= 1.0.0.</P ></DIV ><DIV CLASS="NAVFOOTER" ><HR ALIGN="LEFT" WIDTH="100%"><TABLE SUMMARY="Footer navigation table" WIDTH="100%" BORDER="0" CELLPADDING="0" CELLSPACING="0" ><TR ><TD WIDTH="33%" ALIGN="left" VALIGN="top" ><A HREF="r761.html" ACCESSKEY="P" >Prev</A ></TD ><TD WIDTH="34%" ALIGN="center" VALIGN="top" ><A HREF="index.html" ACCESSKEY="H" >Home</A ></TD ><TD WIDTH="33%" ALIGN="right" VALIGN="top" ><A HREF="r841.html" ACCESSKEY="N" >Next</A ></TD ></TR ><TR ><TD WIDTH="33%" ALIGN="left" VALIGN="top" >fann_train_on_data_callback</TD ><TD WIDTH="34%" ALIGN="center" VALIGN="top" ><A HREF="x609.html" ACCESSKEY="U" >Up</A ></TD ><TD WIDTH="33%" ALIGN="right" VALIGN="top" >fann_train_on_file_callback</TD ></TR ></TABLE ></DIV ></BODY ></HTML >
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