public PasswordChecker(string datasetFile)
{
_nn = new NeuronNetwork(COUNT_IPNUT_NEURONS, LEARNING_RATE);
foreach (var line in File.ReadLines(datasetFile))
{
var data = line.Split(" ");
try
{
var result = int.Parse(data[1]);
switch (result)
{
case 0:
result = -1;
break;
case 1:
result = 0;
break;
case 2:
result = 1;
break;
default:
continue;
}
_nn.Train(result, ParsePassword(data[0]));
}
catch { }
}
}
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);
}
