public static int Main()
{
var hiddenLayers = new List <int>();
var networkBlueprint = new LayeredNeuralNetworkBlueprint
{
inputNeuronAmount = 2,
outputNeuronAmount = 4,
hiddenLayersNeuronAmounts = hiddenLayers
};
var network = NeuralNetworkBuilder.buildLayeredNetwork(networkBlueprint);
var sets = new List <TrainingData>();
for (int i = 0; i < 4; i++)
{
sets.Add(new TrainingData());
}
sets[0].inputs.Add(-1);
sets[0].inputs.Add(1);
sets[0].expectedOutputs.Add(true);
sets[0].expectedOutputs.Add(false);
sets[0].expectedOutputs.Add(false);
sets[0].expectedOutputs.Add(false);
sets[1].inputs.Add(1);
sets[1].inputs.Add(1);
sets[1].expectedOutputs.Add(false);
sets[1].expectedOutputs.Add(true);
sets[1].expectedOutputs.Add(false);
sets[1].expectedOutputs.Add(false);
sets[2].inputs.Add(1);
sets[2].inputs.Add(-1);
sets[2].expectedOutputs.Add(false);
sets[2].expectedOutputs.Add(false);
sets[2].expectedOutputs.Add(true);
sets[2].expectedOutputs.Add(false);
sets[3].inputs.Add(-1);
sets[3].inputs.Add(-1);
sets[3].expectedOutputs.Add(false);
sets[3].expectedOutputs.Add(false);
sets[3].expectedOutputs.Add(false);
sets[3].expectedOutputs.Add(true);
bool makeLoop = true;
int numberOfCycles = 0;
int setNumber = 0;
int good = 0;
int all = 0;
while (good != all || all == 0)
{
numberOfCycles++;
if (makeLoop)
{
good = 0;
all = 0;
for (int i = 0; i < 10000; i++)
{
setNumber = RandGen.NextInt() % 4;
if (network.Teach(sets[setNumber].inputs, sets[setNumber].expectedOutputs))
{
good++;
}
all++;
}
}
Console.WriteLine(numberOfCycles + ". good: " + good + "/" + all);
SaveToFile(@"C:\Users\Majek\Desktop\WriteText.txt", good, all);
}
return(0);
}
