static void Main(string[] args)
{
#region Linear Regression
Console.WriteLine("Linear Regression");
double[] input = new double[] { -2, -1, 1, 4 };
double[] output = new double[] { -3, -1, 2, 3 };
LinearRegression linearRegression = new LinearRegression();
linearRegression.Training(input, output);
Console.WriteLine("Result: " + Math.Round(linearRegression.Run(0.5d),2));
Console.WriteLine("Coefficient Determination: " + Math.Round(linearRegression.CoefficientDetermination,2));
Console.WriteLine("--------------------------");
#endregion
#region Multiple Linear Regression
double[,] inputTrain = { { 2d, 3d }, { 2.5d, 2d }, { 1.8d, 4d } };
double[] outputTrain = { 5d, 6d, 4d };
MultipleLinearRegression mlr = new MultipleLinearRegression(inputTrain.GetLength(1), 0.5d);
mlr.Training(inputTrain, outputTrain);
Console.WriteLine("Multiple Linear Regression");
Console.WriteLine("Result: " + Math.Round(mlr.Run(new[] { 2.6d, 2.1d }), 2));
Console.WriteLine("--------------------------");
#endregion
#region Perceptron
Console.WriteLine("Perceptron");
#region AND Gate
double[,] inputAnd = new double[,] { { 1, 0 }, { 1, 1 }, { 0, 1 }, { 0, 0 } };
int[] outputAnd = new int[] { 0, 1, 0, 0 };
Perceptron p1 = new Perceptron();
p1.Training(inputAnd, outputAnd);
Console.WriteLine("AND Gate");
Console.WriteLine("Iteration of training: " + p1.Iteration);
Console.WriteLine("Test 1: " + p1.Run(new double[,] { { 1, 0 } }));
Console.WriteLine("Test 2: " + p1.Run(new double[,] { { 1, 1 } }));
#endregion
#region OR Gate
double[,] inputOr = new double[,] { { 1, 0 }, { 1, 1 }, { 0, 1 }, { 0, 0 } };
int[] outputOr = new int[] { 1, 1, 1, 0 };
Perceptron p2 = new Perceptron();
p2.Training(inputOr, outputOr);
Console.WriteLine("OR Gate");
Console.WriteLine("Iteration of training: " + p2.Iteration);
Console.WriteLine("Test 1: " + p2.Run(new double[,] { { 0, 1 } }));
Console.WriteLine("Test 2: " + p2.Run(new double[,] { { 0, 0 } }));
#endregion
Console.WriteLine("--------------------------");
#endregion
#region Multilayer Parceptron
Console.WriteLine("Multilayer Parceptron");
MultilayerPerceptron mlp = new MultilayerPerceptron(2, 5, 1);
mlp.Training(new double[,] { { 1, 1 }, { 1, 0 }, { 0, 0 }, { 0, 1 } }, new double[] { 1, 1, 0, 1 });
Console.WriteLine("OR Gate: " + Math.Round(mlp.Run(new double[] { 0, 1 }).FirstOrDefault(), 1));
Console.WriteLine("--------------------------");
#endregion
Console.ReadKey();
}
