php-doc-en/reference/fann/functions/fann-init-weights.xml
2013-08-28 19:06:34 +00:00

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<?xml version="1.0" encoding="utf-8"?>
<!-- $Revision$ -->
<refentry xml:id="function.fann-init-weights" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
<refnamediv>
<refname>fann_init_weights</refname>
<refpurpose>Initialize the weights using Widrow + Nguyens algorithm</refpurpose>
</refnamediv>
<refsect1 role="description">
&reftitle.description;
<methodsynopsis>
<type>bool</type><methodname>fann_init_weights</methodname>
<methodparam><type>resource</type><parameter>ann</parameter></methodparam>
<methodparam><type>resource</type><parameter>train_data</parameter></methodparam>
</methodsynopsis>
<para>
Initialize the weights using Widrow + Nguyens algorithm.
</para>
<para>
This function behaves similarly to <function>fann_randomize_weights</function>. It will use the algorithm developed by
Derrick Nguyen and Bernard Widrow to set the weights in such a way as to speed up training. This technique is not always
successful, and in some cases can be less efficient than a purely random initialization.
</para>
<para>
The algorithm requires access to the range of the input data (for example largest and smallest input), and therefore
accepts a second argument, data, which is the training data that will be used to train the network.
</para>
</refsect1>
<refsect1 role="parameters">
&reftitle.parameters;
<variablelist>
<varlistentry>
<term><parameter>ann</parameter></term>
<listitem>
&fann.ann.description;
</listitem>
</varlistentry>
<varlistentry>
<term><parameter>train_data</parameter></term>
<listitem>
&fann.train.description;
</listitem>
</varlistentry>
</variablelist>
</refsect1>
<refsect1 role="returnvalues">
&reftitle.returnvalues;
&fann.return.bool;
</refsect1>
<refsect1 role="seealso">
&reftitle.seealso;
<para>
<simplelist>
<member><function>fann_randomize_weights</function></member>
<member><function>fann_read_train_from_file</function></member>
</simplelist>
</para>
</refsect1>
</refentry>
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