Update LogicalElement.cpp

zebrabug · Oct 18, 2013 · 19da057 · 19da057
1 parent 5338018
commit 19da057
Showing 1 changed file with 81 additions and 81 deletions.
diff --git a/test/LogicalElement.cpp b/test/LogicalElement.cpp
@@ -19,87 +19,87 @@
 int main()
 {
 
-std::vector<std::vector<double> > DataToFeedNN;
-std::vector<double>  Data1;
-Data1.push_back(1.0);
-Data1.push_back(1.0);
-
-DataToFeedNN.push_back(Data1);
-
-std::vector<double>  Data2;
-Data2.push_back(1.0);
-Data2.push_back(-1.0);
-
-DataToFeedNN.push_back(Data2);
-
-std::vector<double>  Data3;
-Data3.push_back(-1.0);
-Data3.push_back(1.0);
-
-DataToFeedNN.push_back(Data3);
-
-std::vector<double>  Data4;
-Data4.push_back(-1.0);
-Data4.push_back(-1.0);
-
-DataToFeedNN.push_back(Data4);
-
-std::vector<double>  Data5;
-Data5.push_back(0.5);
-Data5.push_back(-1.0);
-//DataToFeedNN.push_back(Data5);
-
-std::vector<std::vector<double> > trainingSample;
-std::vector<double> ts1;
-ts1.push_back(1);
-ts1.push_back(-1);
-std::vector<double> ts2;
-ts2.push_back(-1);
-ts2.push_back(-1);
-std::vector<double> ts3;
-ts3.push_back(-1);
-ts3.push_back(-1);
-std::vector<double> ts4;
-ts4.push_back(-1);
-ts4.push_back(-1);
-std::vector<double> ts5;
-ts5.push_back(0);
-ts5.push_back(1);
-trainingSample.push_back(ts1);
-trainingSample.push_back(ts2);
-trainingSample.push_back(ts3);
-trainingSample.push_back(ts4);
-//trainingSample.push_back(ts5);
-
-NeuralNetwork<double> * NN = new NeuralNetwork<double>(2,2,1,4);
-NN->SetMinMSE(0.01);
-NN->Train(DataToFeedNN,trainingSample);
-
-
-std::cout << std::endl;
-std::cout << "Input data: { 1, 1 }\n";
-NN->GetNetResponse(DataToFeedNN[0]);
-
-std::cout << std::endl;
-std::cout << "Input data: { 1, 0 }\n";
-NN->GetNetResponse(DataToFeedNN[1]);
-
-std::cout << std::endl;
-std::cout << "Input data: { 0, 1 }\n";
-NN->GetNetResponse(DataToFeedNN[2]);
-
-std::cout << std::endl;
-std::cout << "Input data: { 0, 0 }\n";
-NN->GetNetResponse(DataToFeedNN[3]);
-
-
-std::cout << std::endl;
-std::cout << "Input data: { test }\n";
-NN->GetNetResponse(Data5);
-
-delete NN;
-
-return 0;
+  std::vector<std::vector<double> > DataToFeedNN;
+  std::vector<double>  Data1;
+  Data1.push_back(1.0);
+  Data1.push_back(1.0);
+  
+  DataToFeedNN.push_back(Data1);
+  
+  std::vector<double>  Data2;
+  Data2.push_back(1.0);
+  Data2.push_back(-1.0);
+  
+  DataToFeedNN.push_back(Data2);
+  
+  std::vector<double>  Data3;
+  Data3.push_back(-1.0);
+  Data3.push_back(1.0);
+  
+  DataToFeedNN.push_back(Data3);
+  
+  std::vector<double>  Data4;
+  Data4.push_back(-1.0);
+  Data4.push_back(-1.0);
+  
+  DataToFeedNN.push_back(Data4);
+  
+  std::vector<double>  Data5;
+  Data5.push_back(0.5);
+  Data5.push_back(-1.0);
+  //DataToFeedNN.push_back(Data5);
+  
+  std::vector<std::vector<double> > trainingSample;
+  std::vector<double> ts1;
+  ts1.push_back(1);
+  ts1.push_back(-1);
+  std::vector<double> ts2;
+  ts2.push_back(-1);
+  ts2.push_back(-1);
+  std::vector<double> ts3;
+  ts3.push_back(-1);
+  ts3.push_back(-1);
+  std::vector<double> ts4;
+  ts4.push_back(-1);
+  ts4.push_back(-1);
+  std::vector<double> ts5;
+  ts5.push_back(0);
+  ts5.push_back(1);
+  trainingSample.push_back(ts1);
+  trainingSample.push_back(ts2);
+  trainingSample.push_back(ts3);
+  trainingSample.push_back(ts4);
+  //trainingSample.push_back(ts5);
+  
+  NeuralNetwork<double> * NN = new NeuralNetwork<double>(2,2,1,4);
+  NN->SetMinMSE(0.01);
+  NN->Train(DataToFeedNN,trainingSample);
+  
+  
+  std::cout << std::endl;
+  std::cout << "Input data: { 1, 1 }\n";
+  NN->GetNetResponse(DataToFeedNN[0]);
+  
+  std::cout << std::endl;
+  std::cout << "Input data: { 1, 0 }\n";
+  NN->GetNetResponse(DataToFeedNN[1]);
+  
+  std::cout << std::endl;
+  std::cout << "Input data: { 0, 1 }\n";
+  NN->GetNetResponse(DataToFeedNN[2]);
+  
+  std::cout << std::endl;
+  std::cout << "Input data: { 0, 0 }\n";
+  NN->GetNetResponse(DataToFeedNN[3]);
+  
+  
+  std::cout << std::endl;
+  std::cout << "Input data: { test }\n";
+  NN->GetNetResponse(Data5);
+  
+  delete NN;
+  
+  return 0;
 }