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);
}
/**
* @param array $sample
*
* @return array
*/
protected function predictSample(array $sample)
{
return $this->perceptron->setInput($sample)->getOutput();
}
