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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</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="API Reference"HREF="x2553.html"><LINKREL="PREVIOUS"TITLE="fann_create"HREF="r2555.html"><LINKREL="NEXT"TITLE="fann_save"HREF="r2641.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="r2555.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r2641.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="function.fann_train"></A>fann_train</H1><DIVCLASS="refnamediv"><ANAME="AEN2598"></A><H2>Name</H2>fann_train -- Train an artificial neural network.</DIV><DIVCLASS="refsect1"><ANAME="AEN2601"></A><H2>Description</H2><codeclass="methodsynopsis"> <spanclass="type">bool </span>fann_train(<spanclass="methodparam"><spanclass="type">resource </span><spanclass="parameter">ann</span></span><spanclass="methodparam">, <spanclass="type">mixed </span><spanclass="parameter">data</span></span><spanclass="methodparam">, <spanclass="type">int </span><spanclass="parameter">max_iterations</span></span><spanclass="methodparam">, <spanclass="type">double </span><spanclass="parameter">desired_error</span></span><spanclass="methodparam">, <spanclass="type">int </span><spanclass="parameter">iterations_between_reports</span></span>); </code><P> <CODECLASS="function">fann_train</CODE> will train <CODECLASS="parameter">ann</CODE> on the data supplied, returning TRUE on success or FALSE on failure. </P><P> Resources is an artificial neural network returned by <CODECLASS="function">fann_create</CODE>. </P><P> <CODECLASS="parameter">data</CODE> must be either an array of training data, or the URI of a properly formatted training file. </P><P> <CODECLASS="function">fann_train</CODE> will continue training until <CODECLASS="parameter">desired_error</CODE> is reached, or <CODECLASS="parameter">max_iterations</CODE> is exceeded. </P><P> If <CODECLASS="parameter">iterations_between_reports</CODE> is set, <CODECLASS="function">fann_create</CODE> will output a short progress report every <CODECLASS="parameter">iterations_between_reports</CODE>. Default is 0 (meaning no reports). </P><DIVCLASS="example"><ANAME="example.php.fann_train"></A><P><B>Example 6-1. <CODECLASS="function">fann_create</CODE> from training data</B></P><PRECLASS="programlisting"> <?php$ann = fann_create(array(2, 4, 1), 1.0, 0.7);if ( fann_train($ann, array( array( array(0,0), /* Input(s) */ array(0) /* Output(s) */ ), array( array(0,1), /* Input(s) */ array(1) /* Output(s) */ ), array( array(1,0), /* Input(s) */ array(1) /* Output(s) */ ), array(array(1,1), /* Input(s) */ array(0) /* Output(s) */ ) ), 100000, 0.00001, 1000) == FALSE) { exit('Could not train $ann.');}?> </PRE></DIV><P>This function appears in FANN-PHP >= 0.1.0.</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="r2555.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="r2641.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">fann_create</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="x2553.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">fann_save</TD></TR></TABLE></DIV></BODY></HTML>
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