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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@331220 c90b9560-bf6c-de11-be94-00142212c4b1
90 lines
3.2 KiB
XML
90 lines
3.2 KiB
XML
<?xml version="1.0" encoding="utf-8"?>
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<!-- $Revision$ -->
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<refentry xml:id="function.fann-get-cascade-num-candidates" 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_get_cascade_num_candidates</refname>
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<refpurpose>Returns the number of candidates used during training</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>int</type><methodname>fann_get_cascade_num_candidates</methodname>
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<methodparam><type>resource</type><parameter>ann</parameter></methodparam>
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</methodsynopsis>
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<para>
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The number of candidates used during training (calculated by multiplying
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<function>fann_get_cascade_activation_functions_count</function>,
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<function>fann_get_cascade_activation_steepnesses_count</function> and
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<function>fann_get_cascade_num_candidate_groups</function>).
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</para>
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<para>
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The actual candidates is defined by the <function>fann_get_cascade_activation_functions</function> and
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<function>fann_get_cascade_activation_steepnesses</function> arrays. These arrays define the activation functions and
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activation steepnesses used for the candidate neurons. If there are 2 activation functions in the activation function array and
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3 steepnesses in the steepness array, then there will be 2x3=6 different candidates which will be trained. These 6 different
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candidates can be copied into several candidate groups, where the only difference between these groups is the initial weights.
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If the number of groups is set to 2, then the number of candidate neurons will be 2x3x2=12.
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The number of candidate groups is defined by <function>fann_set_cascade_num_candidate_groups</function>.
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</para>
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<para>
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The default number of candidates is 6x4x2 = 48
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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>ann</parameter></term>
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<listitem>
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&fann.ann.description;
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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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The number of candidates used during training, 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_get_cascade_activation_functions</function></member>
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<member><function>fann_get_cascade_activation_functions_count</function></member>
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<member><function>fann_get_cascade_activation_steepnesses</function></member>
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<member><function>fann_get_cascade_activation_steepnesses_count</function></member>
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<member><function>fann_get_cascade_num_candidate_groups</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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