Syntriax
/
NeuralNetworkGenetic
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Missing Indexes

This commit is contained in:
Asrın Doğan 2019-12-25 20:29:29 +03:00
parent c6e96d71a8
commit 1b0156a8ea
1 changed files with 8 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
Genetic.cpp
View File

@ -688,14 +688,14 @@ double RandomDouble(int min, int max)
void SetInput(double, int);
void NextGeneration();
void WriteBestToFile();
void UpdateScores();
void UpdateScores(int);
void ResetScores();
bool CreateNetworks(int, int);
bool ConnectNetworks();
bool SetInputNeurons(int);
bool SetHiddenNeurons(int, int);
bool SetOutputNeurons(int);
double GetBestPrediction(int);
double GetPredictionOfBestNetwork(int);
double GetError(int);
int GetStep();
};
@ -770,13 +770,13 @@ double RandomDouble(int min, int max)
std::cout << "Target -> " << target << "\tBest -> " << networks -> GetPrediction(index) << "\n";
}
void Generation::UpdateScores()
void Generation::UpdateScores(int index = 0)
{
double scoreToAdd;
int i;
for (i = 0; i < size; i++)
{
scoreToAdd = (networks + i) -> GetError(0, target);
scoreToAdd = (networks + i) -> GetError(index, target);
(networks + i) -> SetScore((networks + i) -> GetScore() + scoreToAdd);
}
}
@ -788,7 +788,7 @@ double RandomDouble(int min, int max)
(networks + i) -> SetScore(0.0);
}
double Generation::GetBestPrediction(int index = 0)
double Generation::GetPredictionOfBestNetwork(int index = 0)
{
return networks -> GetPrediction(index);
}
@ -990,7 +990,7 @@ int main()
generation.NextGeneration();
}
}
std::cout << "Best Score -> " << generation.GetBestPrediction() << "\n";
std::cout << "Best Score -> " << generation.GetPredictionOfBestNetwork() << "\n";
std::cout << "Train is Over!\n";
// break; To test it after the train is done
case -1:
@ -1002,8 +1002,8 @@ int main()
generation.SetTarget(testInputs[inputCounter][4]);
generation.Fire();
currentError = testInputs[inputCounter][4] - generation.GetBestPrediction() < 0 ? generation.GetBestPrediction() - testInputs[inputCounter][4] : testInputs[inputCounter][4] - generation.GetBestPrediction();
fprintf(outputFile, "%lf,%lf,%lf\n", testInputs[inputCounter][4], generation.GetBestPrediction(), currentError);
currentError = testInputs[inputCounter][4] - generation.GetPredictionOfBestNetwork() < 0 ? generation.GetPredictionOfBestNetwork() - testInputs[inputCounter][4] : testInputs[inputCounter][4] - generation.GetPredictionOfBestNetwork();
fprintf(outputFile, "%lf,%lf,%lf\n", testInputs[inputCounter][4], generation.GetPredictionOfBestNetwork(), currentError);
}
fclose(outputFile);
std::cout << "Test is Over!\n";