diff --git a/src/examples/simulator.cpp b/src/examples/simulator.cpp
index f8d6f338646b5bc544bdaa79f57c6d122e686927..8e972703bb7268805896f2a8e1a4b5df336d7500 100644
--- a/src/examples/simulator.cpp
+++ b/src/examples/simulator.cpp
@@ -19,7 +19,7 @@ int main(int argc, char** argv) {
 
     try {
         /* PHASE 1 - TRAINING DATA LOADING, NETWORK ASSEMBLY AND PARTICLE SWARM OPTIMIZATION */
-        l4n::CSVReader reader1("/tmp/lib4neuro_pokus/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
+        l4n::CSVReader reader1("/home/martin/Desktop/lib4neuro_test2/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
         reader1.read();  // Read from the file
 
         /* PHASE 1 - NEURAL NETWORK SPECIFICATION */
@@ -80,7 +80,7 @@ int main(int argc, char** argv) {
 
         l4n::NeuralNetwork nn2("test_net_Particle_Swarm.4n");
         /* Training data loading for the second phase */
-        l4n::CSVReader reader2("/tmp/lib4neuro_pokus/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
+        l4n::CSVReader reader2("/home/martin/Desktop/lib4neuro_test2/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
         reader2.read();  // Read from the file
 
         /* Create data set for both the first training of the neural network */
@@ -124,7 +124,7 @@ int main(int argc, char** argv) {
         nn3.write_biases(&output_file);
 
         /* Evaluate network on an arbitrary data-set and save results into the file */
-        l4n::CSVReader reader3("/tmp/lib4neuro_pokus/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
+        l4n::CSVReader reader3("/home/martin/Desktop/lib4neuro_test2/simulator_input.txt", "\t", true);  // File, separator, skip 1st line
         reader3.read();  // Read from the file
 
         /* Create data set for both the testing of the neural network */
@@ -143,11 +143,6 @@ int main(int argc, char** argv) {
         /* Error function */
         l4n::MSE mse3(&nn3, &ds3);  // First parameter - neural network, second parameter - data-set
 
-        std::cout << "Eval on normalized data:" << std::endl;
-        mse3.eval_on_data_set(&ds3, &output_file);
-
-        std::cout << "Eval on de-normalized data:" << std::endl;
-        ds3.de_normalize();
         mse3.eval_on_data_set(&ds3, &output_file);
 
         /* Close the output file for writing */