private static void Main()
{
try
{
Console.WriteLine("\nBegin neural network classification demo\n");
Console.WriteLine("Goal is to predict/classify color based on four numeric inputs\n");
_rnd = new Random(159); // 159 makes 'good' output
Console.WriteLine("Creating 100 lines of raw data");
string dataFile = "..\\..\\colors.txt";
MakeData(dataFile, 100);
Console.WriteLine("\nFirst few rows of raw data file are:");
Helpers.ShowTextFile(dataFile, 4);
double[][] trainMatrix;
double[][] testMatrix;
Console.WriteLine("\nGenerating train and test matrices using an 80%-20% split");
MakeTrainAndTest(dataFile, out trainMatrix, out testMatrix);
Console.WriteLine("\nFirst few rows of training matrix are:");
Helpers.ShowMatrix(trainMatrix, 5);
Console.WriteLine("\nCreating 4-input 5-hidden 3-output neural network");
var nn = new NeuralNetwork(4, 5, 3);
Console.WriteLine("Training to find best neural network weights using PSO with cross entropy error");
double[] bestWeights = nn.Train(trainMatrix);
Console.WriteLine("\nBest weights found:");
Helpers.ShowVector(bestWeights, 2, true);
Console.WriteLine("\nLoading best weights into neural network");
nn.SetWeights(bestWeights);
Console.WriteLine("\nAnalyzing the neural network accuracy on the test data\n");
double accuracy = nn.Test(testMatrix);
Console.WriteLine("Prediction accuracy = " + accuracy.ToString("F4"));
Console.WriteLine("\nEnd neural network classification demo\n");
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine("Fatal: " + ex.Message);
Console.ReadLine();
}
}
static void Main(string[] args)
{
try
{
Console.WriteLine("\nBegin neural network classification demo\n");
Console.WriteLine("Goal is to predict result of game");
double[][] trainMatrix = null;
double[][] testMatrix = null;
Console.WriteLine("\nGenerating train and test matrices using an 80%-20% split");
string dataFile = @"C:\Users\theok\Documents\Projects\NN\NN\nninput.txt";
MakeTrainAndTest(dataFile, out trainMatrix, out testMatrix);
Console.WriteLine("\nFirst few rows of training matrix are:");
Helpers.ShowMatrix(trainMatrix, 5);
Console.WriteLine("\nCreating 4-input 5-hidden 3-output neural network");
NeuralNetwork nn = new NeuralNetwork(Configuration.howManyInputNeurons, Configuration.howManyHiddenNeurons, Configuration.howManyOutputNeurons);
Console.WriteLine("Training to find best neural network weights using PSO with cross entropy error");
double[] bestWeights = nn.Train(trainMatrix);
Console.WriteLine("\nBest weights found:");
Helpers.ShowVector(bestWeights, 2, true);
Console.WriteLine("\nLoading best weights into neural network");
nn.SetWeights(bestWeights);
Console.WriteLine("\nAnalyzing the neural network accuracy on the test data\n");
double accuracy = nn.Test(testMatrix);
Console.WriteLine("Prediction accuracy = " + accuracy.ToString("F4"));
Console.WriteLine("\nEnd neural network classification demo\n");
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine("Fatal: " + ex.Message);
Console.ReadLine();
}
} // Main()
