public Form1()
{
InitializeComponent();
videoDevicesList = new FilterInfoCollection(FilterCategory.VideoInputDevice);
foreach (FilterInfo videoDevice in videoDevicesList)
{
cmbVideoSource.Items.Add(videoDevice.Name);
}
if (cmbVideoSource.Items.Count > 0)
{
cmbVideoSource.SelectedIndex = 0;
}
accord = new Accord.Neuro.ActivationNetwork(new Accord.Neuro.BipolarSigmoidFunction(),
sensors_count, sensors_count * 3, sensors_count * 2, sensors_count, 100, classes_count);
backprog = new Accord.Neuro.Learning.ParallelResilientBackpropagationLearning(accord);
nguyen = new Accord.Neuro.NguyenWidrow(accord);
nguyen.Randomize();
int[] arr = { sensors_count * 3, sensors_count * 2, sensors_count, 100, classes_count };
dimas = new Network(sensors_count, arr);
comboBox1.SelectedIndex = 0;
bot_init();
clips_init();
}
public Form1()
{
InitializeComponent();
videoDevicesList = new FilterInfoCollection(FilterCategory.VideoInputDevice);
foreach (FilterInfo videoDevice in videoDevicesList)
{
cmbVideoSource.Items.Add(videoDevice.Name);
}
if (cmbVideoSource.Items.Count > 0)
{
cmbVideoSource.SelectedIndex = 0;
}
else
{
MessageBox.Show("Камера не найдена!", "Ошибка!", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
net = new Accord.Neuro.ActivationNetwork(new Accord.Neuro.BipolarSigmoidFunction(), sensors_count, sensors_count * 3, sensors_count * 2, sensors_count, 100, digit_count);
backprog = new Accord.Neuro.Learning.ParallelResilientBackpropagationLearning(net);
nguyen = new Accord.Neuro.NguyenWidrow(net);
nguyen.Randomize();
comboBox1.SelectedIndex = 0;
}
void CreateTeacher()
{
Accord.Neuro.ActivationNetwork net = (Accord.Neuro.ActivationNetwork)_Network;
_Teacher = new Accord.Neuro.Learning.ParallelResilientBackpropagationLearning(net);
}
