private static void Main(string[] args)
{
NeuralNetwork Network = NeuralNetworkBuilder.StartBuild()
.SetInitMethod(InitializationFunction.Random)
.CreateInputLayer(2)
.AddHiddenLayer(2, new Sigmoid())
.CreateOutputLayer(1, new Sigmoid())
.Build(new Random());
//Set Test Data
double[][] TestDataOutputs = new double[][]
{
new double[] { 0 },
new double[] { 1 },
new double[] { 1 },
new double[] { 0 }
};
double[][] TestDataInputs = new double[][]
{
new double[] { 0, 0 },
new double[] { 1, 0 },
new double[] { 0, 1 },
new double[] { 1, 1 }
};
double Error = 0;
Backpropagation Backprop = new Backpropagation(Network);
while (Backprop.EpochCount < 8000)
{
Error = Backprop.TrainEpoch(TestDataInputs, TestDataOutputs, TestDataInputs, TestDataOutputs);
}
}
