public void ResetAutoTest()
{
int[] layers = new int[] { 4, 5, 1 };
MultilayerPerceptron nn = new MLPGenerator().Create(layers, 1, new Sigmoid());
double[] randomSelected = new double[] {
nn.Structure.Input[1].Next[1].Weight.Value,
nn.Structure.Input[1].Next[2].Weight.Value,
nn.Structure.Input[1].Next[2].Next.Next[0].Weight.Value,
nn.Structure.Output[0].Previous[1].Weight.Value
};
double[] inp = new double[] { -0.978, 2.34, 0.2, -0.33 };
double[] pulsed = nn.Pulse(inp);
nn.Reset(0, 1);
double[] randomSelected2 = new double[] {
nn.Structure.Input[1].Next[1].Weight.Value,
nn.Structure.Input[1].Next[2].Weight.Value,
nn.Structure.Input[1].Next[2].Next.Next[0].Weight.Value,
nn.Structure.Output[0].Previous[1].Weight.Value
};
for (int i = 0; i < randomSelected.Length; i++)
{
Assert.AreNotEqual(randomSelected[i], randomSelected2[i]);
}
double[] pulsed2 = nn.Pulse(inp);
for (int i = 0; i < pulsed.Length; i++)
{
Assert.AreNotEqual(pulsed[i], pulsed2[i]);
}
}
private void button2_Click(object sender, EventArgs e)
{
int cycles = int.Parse(textBox1.Text);
int hiddenNeurons = int.Parse(textBox2.Text);
double learnRate = double.Parse(textBox3.Text);
double momentum = double.Parse(textBox4.Text);
int[] layers = new int[] { 1, hiddenNeurons, 1 };
MultilayerPerceptron ann = new MLPGenerator().Create(layers, 1, new Sigmoid(2));
ann.Reset(-1, 1);
ann.Momentum = momentum;
ann.LearnFactor = learnRate;
List <TrainingData> trainingList = new List <TrainingData>();
for (int i = 0; i < Map.Count; i++)
{
double[] input = new double[] { (double)Map[i].Item1 / (double)pictureBox1.Width };
double[] output = new double[] { (double)Map[i].Item2 / (double)pictureBox1.Height };
trainingList.Add(new TrainingData(input, output));
}
var res = ann.BP(new BPRequest(trainingList.ToArray(), cycles));
for (int i = 0; i < pictureBox1.Width; i++)
{
int x = i;
double yd = ann.Pulse(new double[] { (double)i / (double)pictureBox1.Width })[0];
int y = Convert.ToInt32(yd * pictureBox1.Height);
Point p = new Point(x, y);
Graph.DrawRectangle(new Pen(new SolidBrush(Color.Orange)), p.X, p.Y, 1, 1);
}
pictureBox1.Image = Bitmap;
}
