31 lines
989 B
PHP
31 lines
989 B
PHP
<?php
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declare(strict_types=1);
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namespace tests\Phpml\NeuralNetwork\Training;
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use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
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use Phpml\NeuralNetwork\Training\Backpropagation;
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use PHPUnit\Framework\TestCase;
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class BackpropagationTest extends TestCase
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{
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public function testBackpropagationForXORLearning()
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{
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$network = new MultilayerPerceptron([2, 2, 1]);
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$training = new Backpropagation($network);
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$training->train(
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[[1, 0], [0, 1], [1, 1], [0, 0]],
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[[1], [1], [0], [0]],
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$desiredError = 0.3,
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40000
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);
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$this->assertEquals(0, $network->setInput([1, 1])->getOutput()[0], '', $desiredError);
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$this->assertEquals(0, $network->setInput([0, 0])->getOutput()[0], '', $desiredError);
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$this->assertEquals(1, $network->setInput([1, 0])->getOutput()[0], '', $desiredError);
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$this->assertEquals(1, $network->setInput([0, 1])->getOutput()[0], '', $desiredError);
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}
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}
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