diff --git a/src/mlpack/tests/feedforward_network_test.cpp b/src/mlpack/tests/feedforward_network_test.cpp
index 7188f69f50..d828bb4075 100644
--- a/src/mlpack/tests/feedforward_network_test.cpp
+++ b/src/mlpack/tests/feedforward_network_test.cpp
@@ -153,6 +153,41 @@ TEST_CASE("CheckCopyMovingVanillaNetworkTest", "[FeedForwardNetworkTest]")
   CheckMoveFunction<>(model1, trainData, trainLabels, 1);
 }
 
+/**
+ * Noisy Linear layer constructor test.
+ */
+TEST_CASE("CheckCopyMovingNoisyLinearTest", "[FeedForwardNetworkTest]")
+{
+  // Create training input by 5x5 matrix
+  arma::mat input = arma::randu(10,1);
+  // Create training output by 1 matrix
+  arma::mat output = arma::mat("1");
+
+  // Check copying constructor
+  FFN<NegativeLogLikelihood<>> *model1 = new FFN<NegativeLogLikelihood<>>();
+  model1->Predictors() = input;
+  model1->Responses() = output;
+  model1->Add<IdentityLayer<>>();
+  model1->Add<NoisyLinear<>>(10, 5);
+  model1->Add<Linear<> >(5, 1);
+  model1->Add<LogSoftMax<>>();
+  
+  // Check whether copy constructor is working or not.
+  CheckCopyFunction<>(model1, input, output, 1);
+
+  // Check moving constructor
+  FFN<NegativeLogLikelihood<>> *model2 = new FFN<NegativeLogLikelihood<>>();
+  model2->Predictors() = input;
+  model2->Responses() = output;
+  model2->Add<IdentityLayer<>>();
+  model2->Add<NoisyLinear<>>(10, 5);
+  model2->Add<Linear<> >(5, 1);
+  model2->Add<LogSoftMax<>>();
+
+  // Check whether move constructor is working or not.
+  CheckMoveFunction<>(model2, input, output, 1);
+}
+
 /**
  * Train the vanilla network on a larger dataset.
  */