public void TestMethod1()
{
var neuronNetwork = new NeuronNetwork(2, 6, new NeuronNetworkContext
{
Derivative = x => x * (1 - x),
Function = x => 1.0 / (1.0 + Math.Exp(-x)),
LearnEpoch = 10000,
LearnStep = 0.5,
ErrorTolerance = 0.001
});
neuronNetwork.Train(new[] { new[] { 1d, 0d }, new[] { 0d, 1d }, new[] { 1d, 1d }, new[] { 0d, 0d } },
new[] { 1d, 1d, 0d, 0d }, (i, i1) => { });
var result = neuronNetwork.Process(new[] { 1d, 1d });
Assert.IsTrue(result < 0.5);
result = neuronNetwork.Process(new[] { 1d, 0d });
Assert.IsTrue(result > 0.5);
}