/**
* @param array $samples
* @param array $targets
*/
public function train(array $samples, array $targets)
{
$layers = $this->hiddenLayers;
array_unshift($layers, count($samples[0]));
$layers[] = count($targets[0]);
$this->perceptron = new MultilayerPerceptron($layers, $this->activationFunction);
$trainer = new Backpropagation($this->perceptron);
$trainer->train($samples, $targets, $this->desiredError, $this->maxIterations);
}
public function testBackpropagationForXORLearning()
{
$network = new MultilayerPerceptron([2, 2, 1]);
$training = new Backpropagation($network);
$training->train([[1, 0], [0, 1], [1, 1], [0, 0]], [[1], [1], [0], [0]], $desiredError = 0.3, 40000);
$this->assertEquals(0, $network->setInput([1, 1])->getOutput()[0], '', $desiredError);
$this->assertEquals(0, $network->setInput([0, 0])->getOutput()[0], '', $desiredError);
$this->assertEquals(1, $network->setInput([1, 0])->getOutput()[0], '', $desiredError);
$this->assertEquals(1, $network->setInput([0, 1])->getOutput()[0], '', $desiredError);
}
