diff --git a/examples/adder.net b/examples/adder.net
deleted file mode 100644
index 17cde54..0000000
Binary files a/examples/adder.net and /dev/null differ
diff --git a/include/neural++.hpp b/include/neural++.hpp
index e915dca..ad4f2c3 100644
--- a/include/neural++.hpp
+++ b/include/neural++.hpp
@@ -225,34 +225,39 @@ namespace neuralpp  {
 
 		Neuron *in;
 		Neuron *out;
+		NeuralNet *net;
 		
 		double (*actv_f)(double);
 		double (*deriv)(double);
 
 	public:
-		Synapsis(Neuron* i, Neuron* o, double w, double d)  {
+		Synapsis(Neuron* i, Neuron* o, NeuralNet* n, double w, double d)  {
 			in=i; out=o;
 			weight=w; delta=d;
+			net=n;
 		}
 
 		/**
 		 * @brief Constructor
 		 * @param i Input neuron
 		 * @param o Output neuron
+		 * @param n Reference to the neural network
 		 * @param a Activation function
 		 * @param d Derivate for activation function
 		 */
-		Synapsis (Neuron* i, Neuron* o, double(*)(double), double(*)(double));
+		Synapsis (Neuron* i, Neuron* o, NeuralNet* n, double(*a)(double), double(*d)(double));
 		
 		/**
 		 * @brief Constructor
 		 * @param i Input neuron
 		 * @param o Output neuron
+		 * @param n Reference to the neural network
 		 * @param w Weight for the synapsis (default: random)
 		 * @param a Activation function
 		 * @param d Derivate for activation function
 		 */
-		Synapsis (Neuron* i, Neuron* o, double w, double(*)(double), double(*)(double));
+		Synapsis (Neuron* i, Neuron* o, NeuralNet* n,
+				double w, double(*a)(double), double(*d)(double));
 	
 		/**
 		 * @return Reference to input neuron of the synapsis
@@ -381,8 +386,9 @@ namespace neuralpp  {
 	 */
 	class Layer  {
 		vector< Neuron > elements;
-		void (*update_weights)();
+		NeuralNet *net;
 
+		void (*update_weights)();
 		double (*actv_f)(double);
 		double (*deriv)(double);
 
@@ -390,16 +396,17 @@ namespace neuralpp  {
 		/**
 		 * @brief Constructor
 		 * @param sz Size of the layer
+		 * @param n Reference to the neural network
 		 * @param a Activation function
 		 * @param d Its derivate
 		 */
-		Layer (size_t sz, double (*)(double), double(*)(double));
+		Layer (size_t sz, NeuralNet* n, double (*a)(double), double(*d)(double));
 
 		/**
 		 * @brief Alternative constructor. It directly gets a vector of neurons to build
 		 *  the layer
 		 */
-		Layer (vector< Neuron >&, double(*)(double), double(*)(double));
+		Layer (vector< Neuron >&, NeuralNet* net, double(*a)(double), double(*d)(double));
 
 		/**
 		 * @brief Redefinition for operator []. It gets the neuron at <i>i</i>
diff --git a/src/layer.cpp b/src/layer.cpp
index 46de72d..635bcf1 100644
--- a/src/layer.cpp
+++ b/src/layer.cpp
@@ -21,7 +21,7 @@ using namespace neuralpp;
  * @param a Activation function
  * @param d Its derivate
  */
-Layer::Layer (size_t sz, double(*a)(double), double(*d)(double))  {
+Layer::Layer (size_t sz, NeuralNet* n, double(*a)(double), double(*d)(double))  {
 	for (size_t i=0; i<sz; i++)  {
 		Neuron n(a,d);
 		elements.push_back(n);
@@ -29,16 +29,18 @@ Layer::Layer (size_t sz, double(*a)(double), double(*d)(double))  {
 
 	actv_f=a;
 	deriv=d;
+	net=n;
 }
 
 /**
  * @brief Alternative constructor. It directly gets a vector of neurons to build
  *  the layer
  */
-Layer::Layer (vector< Neuron > &el, double (*a)(double), double(*d)(double))  {
+Layer::Layer (vector< Neuron > &el, NeuralNet* n, double (*a)(double), double(*d)(double))  {
 	elements=el;
 	actv_f=a;
 	deriv=d;
+	net=n;
 }
 
 /**
@@ -63,7 +65,7 @@ void Layer::link (Layer& l)  {
 
 		for (size_t j=0; j<size(); j++)  {
 			Neuron *n2 = &(elements[j]);
-			Synapsis s(n1,n2,RAND,actv_f,deriv);
+			Synapsis s(n1, n2, net, RAND, actv_f, deriv);
 
 			n1->push_out(s);
 			n2->push_in(s);
diff --git a/src/neuralnet.cpp b/src/neuralnet.cpp
index 5f6ac33..18afe89 100644
--- a/src/neuralnet.cpp
+++ b/src/neuralnet.cpp
@@ -43,9 +43,9 @@ NeuralNet::NeuralNet (size_t in_size, size_t hidden_size, size_t out_size, doubl
 	actv_f=__actv;
 	deriv=__deriv;
 
-	input  = new Layer(in_size, __actv, __deriv);
-	hidden = new Layer(hidden_size, __actv, __deriv);
-	output = new Layer(out_size, __actv, __deriv);
+	input  = new Layer(in_size, this, __actv, __deriv);
+	hidden = new Layer(hidden_size, this, __actv, __deriv);
+	output = new Layer(out_size, this, __actv, __deriv);
 	link();
 }
 
@@ -70,9 +70,9 @@ NeuralNet::NeuralNet (size_t in_size, size_t hidden_size, size_t out_size,
 	actv_f=a;
 	deriv=d;
 
-	input  = new Layer(in_size,a,d);
-	hidden = new Layer(hidden_size,a,d);
-	output = new Layer(out_size,a,d);
+	input  = new Layer(in_size, this, a, d);
+	hidden = new Layer(hidden_size, this, a, d);
+	output = new Layer(out_size, this, a, d);
 	link();
 }
 
diff --git a/src/synapsis.cpp b/src/synapsis.cpp
index 89d10e5..fa4ee8e 100644
--- a/src/synapsis.cpp
+++ b/src/synapsis.cpp
@@ -15,14 +15,7 @@
 #include "neural++.hpp"
 using namespace neuralpp;
 
-/**
- * @brief Constructor
- * @param i Input neuron
- * @param o Output neuron
- * @param a Activation function
- * @param d Derivate for activation function
- */
-Synapsis::Synapsis (Neuron* i, Neuron* o, double(*a)(double), double(*d)(double))  {
+Synapsis::Synapsis (Neuron* i, Neuron* o, NeuralNet* n, double(*a)(double), double(*d)(double))  {
 	srand((unsigned) time(NULL));
 
 	delta=0;
@@ -32,6 +25,7 @@ Synapsis::Synapsis (Neuron* i, Neuron* o, double(*a)(double), double(*d)(double)
 
 	actv_f=a;
 	deriv=d;
+	net=n;
 }
 
 /**
@@ -42,7 +36,8 @@ Synapsis::Synapsis (Neuron* i, Neuron* o, double(*a)(double), double(*d)(double)
  * @param a Activation function
  * @param d Derivate for activation function
  */
-Synapsis::Synapsis (Neuron* i, Neuron* o, double w, double(*a)(double), double(*d)(double))  {
+Synapsis::Synapsis (Neuron* i, Neuron* o, NeuralNet* n,
+		double w, double(*a)(double), double(*d)(double))  {
 	delta=0;
 	weight=w;
 	in=i;
@@ -50,6 +45,7 @@ Synapsis::Synapsis (Neuron* i, Neuron* o, double w, double(*a)(double), double(*
 	
 	actv_f=a;
 	deriv=d;
+	net=n;
 }
 
 /**