diff --git a/app/Http/Controllers/PerceptronController.php b/app/Http/Controllers/PerceptronController.php
index eebd210..5eeedfd 100644
--- a/app/Http/Controllers/PerceptronController.php
+++ b/app/Http/Controllers/PerceptronController.php
@@ -107,7 +107,7 @@ class PerceptronController extends Controller
                         }
                         break;
                     case 'table_2_11':
-                        $dataset['defaultMinError'] = 1.0;
+                        $dataset['defaultMinError'] = 0.02;
                         break;
                 }
                 $datasets[] = $dataset;
diff --git a/app/Models/NetworksTraining/ADALINEPerceptronTraining.php b/app/Models/NetworksTraining/ADALINEPerceptronTraining.php
index 9c213d1..b4982f5 100644
--- a/app/Models/NetworksTraining/ADALINEPerceptronTraining.php
+++ b/app/Models/NetworksTraining/ADALINEPerceptronTraining.php
@@ -82,7 +82,7 @@ class ADALINEPerceptronTraining extends NetworkTraining
 
     protected function stopCondition(): bool
     {
-        $condition = $this->epochError <= $this->minError && $this->perceptron->getSynapticWeights() !== [[0.0, 0.0, 0.0]];
+        $condition = $this->epochError <= $this->minError;
         if ($condition === true) {
             event(new PerceptronTrainingEnded('Le perceptron à atteint l\'erreur minimale', $this->sessionId, $this->trainingId));
         }
diff --git a/app/Models/NetworksTraining/GradientDescentPerceptronTraining.php b/app/Models/NetworksTraining/GradientDescentPerceptronTraining.php
index 082c083..a6e3293 100644
--- a/app/Models/NetworksTraining/GradientDescentPerceptronTraining.php
+++ b/app/Models/NetworksTraining/GradientDescentPerceptronTraining.php
@@ -78,7 +78,7 @@ class GradientDescentPerceptronTraining extends NetworkTraining
 
     protected function stopCondition(): bool
     {
-        $condition = $this->epochError <= $this->minError && $this->perceptron->getSynapticWeights() !== [[0.0, 0.0, 0.0]];
+        $condition = $this->epochError <= $this->minError;
         if ($condition === true) {
             event(new PerceptronTrainingEnded('Le perceptron à atteint l\'erreur minimale', $this->sessionId, $this->trainingId));
         }
diff --git a/tests/Unit/Training/ADALINEPerceptronTest.php b/tests/Unit/Training/ADALINEPerceptronTest.php
index ed62fb6..d50ad48 100644
--- a/tests/Unit/Training/ADALINEPerceptronTest.php
+++ b/tests/Unit/Training/ADALINEPerceptronTest.php
@@ -10,7 +10,7 @@ use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
 class ADALINEPerceptronTest extends TrainingTestCase
 {
 
-    public function test_simple_perceptron_training_logic_and()
+    public function test_adaline_perceptron_training_logic_and()
     {
         $training = new ADALINEPerceptronTraining(
             datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
@@ -31,7 +31,7 @@ class ADALINEPerceptronTest extends TrainingTestCase
         );
     }
 
-    // public function test_simple_perceptron_training_table_2_9()
+    // public function test_adaline_perceptron_training_table_2_9()
     // {
     //     $training = new ADALINEPerceptronTraining(
     //         datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_9.csv')),
@@ -50,4 +50,25 @@ class ADALINEPerceptronTest extends TrainingTestCase
     //         expectedEpochs: 92
     //     );
     // }
+
+    public function test_adaline_perceptron_training_table_2_10()
+    {
+        $training = new ADALINEPerceptronTraining(
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
+            learningRate: 0.0015,
+            maxEpochs: 1000,
+            synapticWeightsProvider: new ZeroSynapticWeights(),
+            iterationEventBuffer: new DullIterationEventBuffer(),
+            sessionId: 'test-session',
+            trainingId: 'test-training',
+            // minError: 16.597077, // Impossible pour un dataset avec des labels -1 et 1 d'avoir une erreur moyenne supérieure à 2
+            minError: 0.000000001,
+        );
+
+        $this->verifyTrainingResults(
+            training: $training,
+            expectedWeights: [[[-0.022673, -0.25422, 0.294955]]],
+            expectedEpochs: 1000
+        );
+    }
 }
diff --git a/tests/Unit/Training/GradientDescentPerceptronTest.php b/tests/Unit/Training/GradientDescentPerceptronTest.php
index aa054c4..6c9b57b 100644
--- a/tests/Unit/Training/GradientDescentPerceptronTest.php
+++ b/tests/Unit/Training/GradientDescentPerceptronTest.php
@@ -10,7 +10,7 @@ use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
 class GradientDescentPerceptronTest extends TrainingTestCase
 {
 
-    public function test_simple_perceptron_training_logic_and()
+    public function test_gradient_descent_perceptron_training_logic_and()
     {
         $training = new GradientDescentPerceptronTraining(
             datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
@@ -30,7 +30,7 @@ class GradientDescentPerceptronTest extends TrainingTestCase
         );
     }
 
-    // public function test_simple_perceptron_training_table_2_9()
+    // public function test_gradient_descent_perceptron_training_table_2_9()
     // {
     //     $training = new GradientDescentPerceptronTraining(
     //         datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_9.csv')),
@@ -49,4 +49,25 @@ class GradientDescentPerceptronTest extends TrainingTestCase
     //         expectedEpochs: 402
     //     );
     // }
+
+    public function test_gradient_descent_perceptron_training_table_2_10()
+    {
+        $training = new GradientDescentPerceptronTraining(
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
+            learningRate: 0.0015,
+            maxEpochs: 1000,
+            synapticWeightsProvider: new ZeroSynapticWeights(),
+            iterationEventBuffer: new DullIterationEventBuffer(),
+            sessionId: 'test-session',
+            trainingId: 'test-training',
+            // minError: 16.388103, // Impossible pour un dataset avec des labels -1 et 1 d'avoir une erreur moyenne supérieure à 2
+            minError: 0.000000001,
+        );
+
+        $this->verifyTrainingResults(
+            training: $training,
+            expectedWeights: [[[-0.04107, -0.263527, 0.286406]]],
+            expectedEpochs: 1000
+        );
+    }
 }