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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_callback</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_file"HREF="r806.html"><LINKREL="NEXT"TITLE="fann_shuffle_train_data"HREF="r886.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="r806.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r886.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="api.fann_train_on_file_callback"></A>fann_train_on_file_callback</H1><DIVCLASS="refnamediv"><ANAME="AEN842"></A><H2>Name</H2>fann_train_on_file_callback -- Train an ANN.</DIV><DIVCLASS="refsect1"><ANAME="AEN845"></A><H2>Description</H2><codeclass="methodsynopsis"> <spanclass="type">void </span>fann_train_on_file_callback(<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><spanclass="methodparam">, <spanclass="type">int </span><spanclass="parameter">(*callback)(unsigned int epochs, float error)</span></span>); </code><P> 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> This function behaves identically to <AHREF="r806.html"><CODECLASS="function">fann_train_on_file</CODE></A>, except that <CODECLASS="function">fann_train_on_file_callback</CODE> allows you to specify a function to be called every <CODECLASS="parameter">epochs_between_reports</CODE> instead of using the default reporting mechanism. The callback function works as described in <AHREF="r761.html"><CODECLASS="function">fann_train_on_data_callback</CODE></A> </P><P> 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 >= 1.0.5.</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="r806.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="r886.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">fann_train_on_file</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="x609.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">fann_shuffle_train_data</TD></TR></TABLE></DIV></BODY></HTML>⌨️ 快捷键说明
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