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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</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="API Reference"HREF="x2553.html"><LINKREL="NEXT"TITLE="fann_train"HREF="r2597.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="x2553.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom"></TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="r2597.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><H1><ANAME="function.fann_create"></A>fann_create</H1><DIVCLASS="refnamediv"><ANAME="AEN2556"></A><H2>Name</H2>fann_create -- Creates an artificial neural network.</DIV><DIVCLASS="refsect1"><ANAME="AEN2559"></A><H2>Description</H2><codeclass="methodsynopsis"> <spanclass="type">mixed </span>fann_create(<spanclass="methodparam"><spanclass="type">mixed </span><spanclass="parameter">data</span></span><spanclass="methodparam">, <spanclass="type">float </span><spanclass="parameter">connection_rate</span></span><spanclass="methodparam">, <spanclass="type">float </span><spanclass="parameter">learning_rate</span></span>); </code><P> <CODECLASS="function">fann_create</CODE> will create an artificial neural network using the data given. </P><P> If the first parameter is an array, <CODECLASS="function">fann_create</CODE> will use the data and structure of the array, as well as <CODECLASS="parameter">connection_rate</CODE> and <CODECLASS="parameter">learning_rate</CODE>. </P><P> If <CODECLASS="function">fann_create</CODE> is called with a sole string argument, it will attempt to load an ANN created with <CODECLASS="function">fann_save</CODE> from the file at <CODECLASS="parameter">filename</CODE>. </P><P> <CODECLASS="function">fann_create</CODE> will return the artificial neural network on success, or FALSE if it fails. </P><DIVCLASS="example"><ANAME="example.php.fann_create.scratch"></A><P><B>Example 6-1. <CODECLASS="function">fann_create</CODE> from scratch</B></P><PRECLASS="programlisting"> <?php$ann = fann_create( /* Layers. In this case, three layers- * two input neurons, 4 neurons on a * hidden layer, and one output neuron. */ array(2, 4, 1), 1.0, 0.7);?> </PRE></DIV><DIVCLASS="example"><ANAME="example.php.fann_create.load"></A><P><B>Example 6-2. <CODECLASS="function">fann_create</CODE> loading from a file</B></P><PRECLASS="programlisting"> <?php$ann = fann_create("http://www.example.com/ann.net");?> </PRE></DIV><P> See also <AHREF="r2641.html"><CODECLASS="function">fann_save</CODE></A>. </P><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="x2553.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="r2597.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">API Reference</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="x2553.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">fann_train</TD></TR></TABLE></DIV></BODY></HTML>⌨️ 快捷键说明
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