Multilayer neuron network

2026-09-08 16:29:02 +02:00
parent 2f4db07918
commit 08aa04fe56
17 changed files with 630 additions and 50 deletions
@@ -0,0 +1,33 @@
+<?php
+
+namespace Tests\Unit\Training;
+
+use App\Models\NetworksTraining\MultiLayerPerceptronTraining;
+use App\Services\DatasetReader\LinearOrderDataSetReader;
+use App\Services\SynapticWeightsProvider\ZeroSynapticWeights;
+use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
+
+class MultiLayerPerceptronTest extends TrainingTestCase
+{
+    public function test_multilayer_perceptron_uses_one_output_for_continuous_targets(): void
+    {
+        $training = new MultiLayerPerceptronTraining(
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_4_17.csv')),
+            learningRate: 0.01,
+            maxEpochs: 1,
+            hiddenLayers: 1,
+            hiddenLayersNeurons: 3,
+            synapticWeightsProvider: new ZeroSynapticWeights,
+            iterationEventBuffer: new DullIterationEventBuffer,
+            sessionId: 'test-session',
+            trainingId: 'test-training',
+            minError: 0,
+        );
+
+        $training->start();
+
+        $weights = $training->getSynapticWeights()[0][0];
+
+        $this->assertCount(1, $weights[count($weights) - 1]);
+    }
+}