<?xml version="1.0" encoding="utf-8"?>
<!-- $Revision$ -->

<refentry xml:id="function.fann-create-shortcut" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
 <refnamediv>
  <refname>fann_create_shortcut</refname>
  <refpurpose>Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections</refpurpose>
 </refnamediv>

 <refsect1 role="description">
  &reftitle.description;
  <methodsynopsis>
   <type>reference</type><methodname>fann_create_shortcut</methodname>
   <methodparam><type>int</type><parameter>num_layers</parameter></methodparam>
   <methodparam><type>int</type><parameter>num_neurons1</parameter></methodparam>
   <methodparam><type>int</type><parameter>num_neurons2</parameter></methodparam>
   <methodparam choice="opt"><type>int</type><parameter>...</parameter></methodparam>
  </methodsynopsis>
  <para>
   Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections.
  </para>
  <para>
   Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network
   where all neurons are connected to all neurons in later layers. Including direct connections from the input layer to the output layer.
  </para>
 </refsect1>

 <refsect1 role="parameters">
  &reftitle.parameters;
  <variablelist>
   <varlistentry>
    <term><parameter>num_layers</parameter></term>
    <listitem>
     <para>
      The total number of layers including the input and the output layer.
     </para>
    </listitem>
   </varlistentry>
   <varlistentry>
    <term><parameter>num_neurons1</parameter></term>
    <listitem>
     <para>
      Number of neurons in the first layer.
     </para>
    </listitem>
   </varlistentry>
   <varlistentry>
    <term><parameter>num_neurons2</parameter></term>
    <listitem>
     <para>
      Number of neurons in the second layer.
     </para>
    </listitem>
   </varlistentry>
   <varlistentry>
    <term><parameter>...</parameter></term>
    <listitem>
     <para>
      Number of neurons in other layers.
     </para>
    </listitem>
   </varlistentry>
  </variablelist>
 </refsect1>

 <refsect1 role="returnvalues">
  &reftitle.returnvalues;
  <para>
   Returns a neural network resource on success, or &false; on error.
  </para>
 </refsect1>

 <refsect1 role="seealso">
  &reftitle.seealso;
  <para>
   <simplelist>
    <member><function>fann_create_shortcut_array</function></member>
    <member><function>fann_create_sparse</function></member>
    <member><function>fann_create_standard</function></member>
   </simplelist>
  </para>
 </refsect1>

</refentry>

<!-- Keep this comment at the end of the file
Local variables:
mode: sgml
sgml-omittag:t
sgml-shorttag:t
sgml-minimize-attributes:nil
sgml-always-quote-attributes:t
sgml-indent-step:1
sgml-indent-data:t
indent-tabs-mode:nil
sgml-parent-document:nil
sgml-default-dtd-file:"~/.phpdoc/manual.ced"
sgml-exposed-tags:nil
sgml-local-catalogs:nil
sgml-local-ecat-files:nil
End:
vim600: syn=xml fen fdm=syntax fdl=2 si
vim: et tw=78 syn=sgml
vi: ts=1 sw=1
-->