/**
* Run ANN and get it's output values
* @param array input vector
* @return mixed array output vector, null in error
*/
public function run(array $inputVector)
{
$this->checkIfAnnIsAssigned();
$status = fann_run($this->annId, $inputVector);
if ($status == true) {
$output = array();
$outputCount = $this->get_num_output();
for ($i = 0; $i < $outputCount; $i++) {
$output[] = $this->get_output($i);
}
return $output;
} else {
return null;
}
}
/**
* Run.
*
* @param array $input Input.
* @return array
*/
public function run(array $input)
{
$calc_out = fann_run($this->ann, $input);
printf("noughtsandcrosses test (%f,%f) -> %f\n", $input[0], $input[1], $calc_out[0]);
fann_destroy($this->ann);
return $calc_out;
}
<?php
$train_file = dirname(__FILE__) . "/xor_float.net";
if (!is_file($train_file)) {
die("The file xor_float.net has not been created! Please run simple_train.php to generate it");
}
$ann = fann_create_from_file($train_file);
if (!$ann) {
die("ANN could not be created");
}
$input = array(-1, 1);
$calc_out = fann_run($ann, $input);
printf("xor test (%f,%f) -> %f\n", $input[0], $input[1], $calc_out[0]);
fann_destroy($ann);
}
$input = new Input();
$comments[] = '//simple comment';
$comments[] = '/**
* Returns the same version for all assets.
*
* @author Fabien Potencier <*****@*****.**>
*/';
$comments[] = '// $this->getAll(3);';
$comments[] = '//fix for v1.2';
$comments[] = '/* if ($path && \'/\' == $path[0]) {
return \'/\'.$versionized;
}*/';
$comments[] = '// We have server(s) -> apply default configuration';
$comments[] = '/* The <info>%command.name%</info> command clears the application cache for a given environment
and debug mode:
<info>php %command.full_name% --env=dev</info>
<info>php %command.full_name% --env=prod --no-debug</info>*/';
$comments[] = '// avoid shutting down the Kernel if no request has been performed yet
// WebTestCase::createClient() boots the Kernel but do not handle a request';
foreach ($comments as $comment) {
$result = fann_run($ann, $input->getInputFromComment($comment));
printf("COMMENT : %s\n", $comment);
printf("RESULT : %f\n", $result[0]);
if ($result[0] > 0.9) {
echo "!!! CODE DETECTED !!!\n";
}
echo "\n";
}
fann_destroy($ann);
* long fann_get_total_connections(resource ann)
*
* If you have any questions or comments, please e-mail Evan Nemerson
* <*****@*****.**>
*/
/* If you don't want to compile FANN into PHP... */
if (!extension_loaded('fann')) {
if (!dl('fann.so')) {
exit("You must install the FANN extension. You can get it from http://fann.sf.net/\n");
}
}
/* Create an artificial neural network */
$ann = fann_create(array(2, 4, 1), 1.0, 0.7);
/* To load from a file, you can use. If your version of PHP includes the streams API (4.3.0+ ?),
* this can be anything accessible through streams (http, ftp, https, etc) */
// $ann = fann_create("http://example.com/xor_float.net");
/* Train the network using the same data as is in the xor.data file */
fann_train($ann, array(array(array(0, 0), array(0)), array(array(0, 1), array(1)), array(array(1, 0), array(1)), array(array(1, 1), array(0))), 100000, 1.0E-5, 1000);
/* To achieve the same effect as the above with the data stored in an external file... Also works
* with the streams API, when available. */
// fann_train($ann, '/home/tadpole/local/src/fann/examples/xor.data', 100000, 0.00001, 1000);
print_r(fann_run($ann, array(0, 0)));
// Should be ~ 0
print_r(fann_run($ann, array(0, 1)));
// Should be ~ 1
print_r(fann_run($ann, array(1, 0)));
// Should be ~ 1
print_r(fann_run($ann, array(1, 1)));
// Should be ~ 0
/* This function is pretty simple. It will use the streams API if available. */
fann_save($ann, 'xor_float.net');
public function run($input)
{
return fann_run($this->ann, $input);
}
