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https://github.com/sigmasternchen/php-doc-en
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git-svn-id: https://svn.php.net/repository/phpdoc/en/trunk@343876 c90b9560-bf6c-de11-be94-00142212c4b1
105 lines
3.1 KiB
XML
105 lines
3.1 KiB
XML
<?xml version="1.0" encoding="utf-8"?>
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<!-- $Revision$ -->
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<refentry xml:id="function.fann-create-shortcut" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
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<refnamediv>
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<refname>fann_create_shortcut</refname>
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<refpurpose>Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections</refpurpose>
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</refnamediv>
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<refsect1 role="description">
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&reftitle.description;
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<methodsynopsis>
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<type>resource</type><methodname>fann_create_shortcut</methodname>
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<methodparam><type>int</type><parameter>num_layers</parameter></methodparam>
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<methodparam><type>int</type><parameter>num_neurons1</parameter></methodparam>
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<methodparam><type>int</type><parameter>num_neurons2</parameter></methodparam>
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<methodparam choice="opt"><type>int</type><parameter>...</parameter></methodparam>
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</methodsynopsis>
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<para>
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Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections.
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</para>
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<para>
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Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network
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where all neurons are connected to all neurons in later layers. Including direct connections from the input layer to the output layer.
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</para>
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</refsect1>
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<refsect1 role="parameters">
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&reftitle.parameters;
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<variablelist>
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<varlistentry>
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<term><parameter>num_layers</parameter></term>
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<listitem>
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<para>
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The total number of layers including the input and the output layer.
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</para>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term><parameter>num_neurons1</parameter></term>
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<listitem>
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<para>
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Number of neurons in the first layer.
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</para>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term><parameter>num_neurons2</parameter></term>
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<listitem>
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<para>
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Number of neurons in the second layer.
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</para>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term><parameter>...</parameter></term>
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<listitem>
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<para>
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Number of neurons in other layers.
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</para>
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</listitem>
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</varlistentry>
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</variablelist>
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</refsect1>
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<refsect1 role="returnvalues">
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&reftitle.returnvalues;
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<para>
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Returns a neural network resource on success, or &false; on error.
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</para>
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</refsect1>
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<refsect1 role="seealso">
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&reftitle.seealso;
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<para>
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<simplelist>
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<member><function>fann_create_shortcut_array</function></member>
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<member><function>fann_create_sparse</function></member>
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<member><function>fann_create_standard</function></member>
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</simplelist>
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</para>
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</refsect1>
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</refentry>
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<!-- Keep this comment at the end of the file
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Local variables:
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mode: sgml
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sgml-omittag:t
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sgml-shorttag:t
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sgml-minimize-attributes:nil
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sgml-always-quote-attributes:t
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sgml-indent-step:1
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sgml-indent-data:t
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indent-tabs-mode:nil
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sgml-parent-document:nil
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sgml-default-dtd-file:"~/.phpdoc/manual.ced"
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sgml-exposed-tags:nil
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sgml-local-catalogs:nil
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sgml-local-ecat-files:nil
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End:
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vim600: syn=xml fen fdm=syntax fdl=2 si
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vim: et tw=78 syn=sgml
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vi: ts=1 sw=1
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-->
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