diff --git a/src/main/java/org/apache/commons/math3/ml/neuralnet/Network.java b/src/main/java/org/apache/commons/math3/ml/neuralnet/Network.java
index f4cf32586..e9c6ddee2 100644
--- a/src/main/java/org/apache/commons/math3/ml/neuralnet/Network.java
+++ b/src/main/java/org/apache/commons/math3/ml/neuralnet/Network.java
@@ -69,7 +69,6 @@ public class Network
         private static final long serialVersionUID = 20130207L;
 
         /** {@inheritDoc} */
-        @Override
         public int compare(Neuron a,
                            Neuron b) {
             final long aId = a.getIdentifier();
@@ -138,7 +137,6 @@ public class Network
     /**
      * {@inheritDoc}
      */
-    @Override
     public Iterator<Neuron> iterator() {
         return neuronMap.values().iterator();
     }
diff --git a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/KohonenUpdateAction.java b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/KohonenUpdateAction.java
index 3831e8a85..d03404ae8 100644
--- a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/KohonenUpdateAction.java
+++ b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/KohonenUpdateAction.java
@@ -91,7 +91,6 @@ public class KohonenUpdateAction implements UpdateAction {
     /**
      * {@inheritDoc}
      */
-    @Override
     public void update(Network net,
                        double[] features) {
         final long numCalls = numberOfCalls.incrementAndGet();
diff --git a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/LearningFactorFunctionFactory.java b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/LearningFactorFunctionFactory.java
index 98c24facd..c979b577d 100644
--- a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/LearningFactorFunctionFactory.java
+++ b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/LearningFactorFunctionFactory.java
@@ -68,7 +68,6 @@ public class LearningFactorFunctionFactory {
                 = new ExponentialDecayFunction(initValue, valueAtNumCall, numCall);
 
             /** {@inheritDoc} */
-            @Override
             public double value(long n) {
                 return decay.value(n);
             }
@@ -110,7 +109,6 @@ public class LearningFactorFunctionFactory {
                 = new QuasiSigmoidDecayFunction(initValue, slope, numCall);
 
             /** {@inheritDoc} */
-            @Override
             public double value(long n) {
                 return decay.value(n);
             }
diff --git a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/NeighbourhoodSizeFunctionFactory.java b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/NeighbourhoodSizeFunctionFactory.java
index cf185c454..07f3a0786 100644
--- a/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/NeighbourhoodSizeFunctionFactory.java
+++ b/src/main/java/org/apache/commons/math3/ml/neuralnet/sofm/NeighbourhoodSizeFunctionFactory.java
@@ -63,7 +63,6 @@ public class NeighbourhoodSizeFunctionFactory {
                 = new ExponentialDecayFunction(initValue, valueAtNumCall, numCall);
 
             /** {@inheritDoc} */
-            @Override
             public int value(long n) {
                 return (int) FastMath.rint(decay.value(n));
             }
@@ -100,7 +99,6 @@ public class NeighbourhoodSizeFunctionFactory {
                 = new QuasiSigmoidDecayFunction(initValue, slope, numCall);
 
             /** {@inheritDoc} */
-            @Override
             public int value(long n) {
                 return (int) FastMath.rint(decay.value(n));
             }