private void networkParametersMenuItem_Click(object sender, RoutedEventArgs e)
{
NetworkParametersWindow networkParameters = new NetworkParametersWindow();
NeuronNetworkArchitecture archtecture = new NeuronNetworkArchitecture();
if(networkParameters.ShowDialog() == true)
{
archtecture.CountInputNeurons = Convert.ToInt32(networkParameters.countInputNeurons.Text);
archtecture.CountOutputNeurons = Convert.ToInt32(networkParameters.countOutputNeurons.Text);
archtecture.CountHiddenLayers = Convert.ToInt32(networkParameters.countHiddenLayer.Text);
archtecture.CountNeuronsInLayer = Convert.ToInt32(networkParameters.countNeuronsInHiddenLayer.Text);
perceptron.Create(generateSignal(2), archtecture);
}
}
private void networkParametersMenuItem_Click(object sender, RoutedEventArgs e)
{
NetworkParametersWindow networkParameters = new NetworkParametersWindow();
NeuronNetworkArchitecture archtecture = new NeuronNetworkArchitecture();
if(networkParameters.ShowDialog() == true)
{
archtecture.CountInputNeurons = Convert.ToInt32(networkParameters.countInputNeurons.Text);
archtecture.CountOutputNeurons = Convert.ToInt32(networkParameters.countOutputNeurons.Text);
archtecture.CountHiddenLayers = Convert.ToInt32(networkParameters.countHiddenLayer.Text);
archtecture.CountNeuronsInLayer = Convert.ToInt32(networkParameters.countNeuronsInHiddenLayer.Text);
perceptron.Create(archtecture);
points.SetNetwork(perceptron.NeuronNetwork());
points.InitializationWeights();
for (int i = 0; i < clearSignal.Count; i++ )
{
List<List<double>> tmp = new List<List<double>>();
List<double> sig = new List<double>();
sig.Add(clearSignal[i]);
tmp.Add(sig);
perceptron.NeuronNetwork().SetSignal(tmp[0]);
List<double> output = perceptron.NeuronNetwork().GetSignal();
}
int hh;
}
}
