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>fann_run</H1
><DIV
CLASS="refnamediv"
><A
NAME="AEN2665"
></A
><H2
>Name</H2
>fann_run -- Run an artificial neural network.</DIV
><DIV
CLASS="refsect1"
><A
NAME="AEN2668"
></A
><H2
>Description</H2
><code
class="methodsynopsis"
> <span
class="type"
>mixed </span
>fann_run(<span
class="methodparam"
><span
class="type"
>resource </span
><span
class="parameter"
>ann</span
></span
><span
class="methodparam"
>, <span
class="type"
>array </span
><span
class="parameter"
>input</span
></span
>); </code
><P
> <CODE
CLASS="function"
>fann_run</CODE
> will run <VAR
CLASS="parameter"
>input</VAR
> through <VAR
CLASS="parameter"
>ann</VAR
>,
returning an an output array on success or FALSE on failure.
</P
><DIV
CLASS="example"
><A
NAME="example.php.fann_run"
></A
><P
><B
>Example 6-1.
<CODE
CLASS="function"
>fann_run</CODE
>Example</B
></P
><PRE
CLASS="programlisting"
>
<?php
if ( ($ann = fann_create("http://www.example.com/ann.net")) == FALSE )
exit("Could not create ANN.");
if ( fann_train($ann, "http://www.example.com/train.data", 100000, 0.00001) == FALSE )
exit("Could not train ANN.");
if ( ($output = fann_run($ann, array(0, 1))) == FALSE )
exit("Could not run ANN.");
else
print_r($output);
?>
</PRE
></DIV
><P
>This function appears in FANN-PHP >= 0.1.0.</P
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