public void EqualsTest()
{
var equalTrainList = new List <TrainSet>();
// Add numbers
for (int i = 0; i <= 10; i++)
{
for (int j = 0; j <= 10; j++)
{
bool isEqual = i == j;
equalTrainList.Add(new TrainSet
{
Input = new double[] { i, j },
Output = isEqual ? 1.0 : 0.0
});
}
}
FeedForward net = new FeedForward(new Layer(2, new Sigmoid()),
new Layer[] { new Layer(4, new Sigmoid()) },
new Layer(1, new Sigmoid()));
net.Train(equalTrainList, 10000, learningRate: 1);
foreach (TrainSet ts in equalTrainList)
{
double result = net.Handle(ts.Input)[0];
double roundedResult = Math.Round(result);
Assert.AreEqual(ts.Output, roundedResult);
}
}
public void XorTest()
{
var xorTrainList = new List <TrainSet>();
xorTrainList.Add(new TrainSet {
Input = new double[] { 0.0, 1.0 }, Output = 1.0
});
xorTrainList.Add(new TrainSet {
Input = new double[] { 1.0, 0.0 }, Output = 1.0
});
xorTrainList.Add(new TrainSet {
Input = new double[] { 0.0, 0.0 }, Output = 0.0
});
xorTrainList.Add(new TrainSet {
Input = new double[] { 1.0, 1.0 }, Output = 0.0
});
Layer[] hiddenLayers =
{
new Layer(4, new Sigmoid())
};
FeedForward net = new FeedForward(new Layer(2, new Sigmoid()),
hiddenLayers,
new Layer(1, new Sigmoid()));
net.Train(xorTrainList, 5000);
foreach (TrainSet ts in xorTrainList)
{
double result = net.Handle(ts.Input)[0];
double roundedResult = Math.Round(result);
Console.WriteLine($"{ts.Input[0]} X {ts.Input[1]} = {result}");
Assert.AreEqual(ts.Output, roundedResult);
}
}
