public function __construct($inputNeurons, $outputNeurons, $hiddenLayers, $hiddenNeurons, $file = '')
{
$this->file = $file;
if (!empty($this->file) && is_readable($this->file)) {
$this->ann = fann_create_from_file($this->file);
}
if (!$this->ann) {
/**
* layers
* layer 1 (input layer)
* layer 2 (hidden layer 1)
* .
* .
* layer 5 (output layer)
*/
$layers = $this->createLayersArray($inputNeurons, $outputNeurons, $hiddenLayers, $hiddenNeurons);
$this->ann = fann_create_standard_array(count($layers), $layers);
}
fann_set_activation_function_hidden($this->ann, FANN_SIGMOID_SYMMETRIC);
fann_set_activation_function_output($this->ann, FANN_SIGMOID);
fann_set_training_algorithm($this->ann, FANN_TRAIN_BATCH);
}
/**
* Sets activation function for hidden layer
* @param int activation function (SEE TOP OF THIS FILE)
* @return bool true on success, false on error
*/
public function set_activation_function_hidden($activation_function)
{
$this->checkIfAnnIsAssigned();
return fann_set_activation_function_hidden($this->annId, $activation_function);
}
<?php
$num_input = 2;
$num_output = 1;
$num_layers = 3;
$num_neurons_hidden = 3;
$desired_error = 0.001;
$max_epochs = 500000;
$epochs_between_reports = 1000;
$ann = fann_create_standard($num_layers, $num_input, $num_neurons_hidden, $num_output);
if ($ann) {
fann_set_activation_function_hidden($ann, FANN_SIGMOID_SYMMETRIC);
fann_set_activation_function_output($ann, FANN_SIGMOID_SYMMETRIC);
$filename = dirname(__FILE__) . "/xor.data";
if (fann_train_on_file($ann, $filename, $max_epochs, $epochs_between_reports, $desired_error)) {
fann_save($ann, dirname(__FILE__) . "/xor_float.net");
}
fann_destroy($ann);
}
/**
* Set Activation Function.
*
* @param int $layer Layer.
* @return bool
*/
public function setActivationFunction(LayerInterface $layer)
{
if ($this->ann === null) {
throw new Exception("ANN is null: create an artifical neural network before setting an activation function for a layer.", 1);
}
$result = fann_set_activation_function_hidden($this->ann, $layer::ACTIVATION_FUNCTION);
return $result;
}
