static void Main(string[] args)
{
int[] layerSizes = new int[3] {
3, 4, 1
};
TransferFunction[] TFuncs = new TransferFunction[3] {
TransferFunction.None,
TransferFunction.Sigmoid,
TransferFunction.Linear
};
BackPropagationNetwork bpn = new BackPropagationNetwork(layerSizes, TFuncs);
double[] input = new double[] { 4, 6, 8 }; //, new double[] {4, 7, 5}, new double[] {7, 4, 8}, new double[] {6, 7, 5}, new double[] {7, 7, 8}};
double[] desired = new double[] { -0.86 }; //, new double[] {0.15}, new double[] {0.72 }, new double[] {0.53 }, new double[] { 0.44 } };
/*double[] output = new double[1];
*
*
* double error = 0.0;
*
* for(int i = 0; i < 10; i++)
* {
*
* error = bpn.Train(ref input, ref desired, 0.15, 0.1);
* bpn.Run(ref input, out output);
* if (i % 1 == 0)
* Console.WriteLine("Iteration {0}: \n\t Input {1:0.000} {2:0.000} {3:0.000} Output {4:0.000} error{5:0.000}", i, input[0], input[1], input[2], output[0], error);
*
*
* }*/
double[][] inputs =
{
new double[] { 0.4, 11.8, 0.1 },
new double[] { 1.9, 1.9, 19.5 },
new double[] { 1.2, 23.2, 0.3 },
new double[] { 20.9, 0.0, 7.9 },
new double[] { 13.0, 19.0, 11.0 },
new double[] { 15.5, 2.9, 68.3 }
};
string[] names = new string[] { "Apples", "Avocado", "Leave", "Beef Steak", "Jam", "Brazil Nuts" };
SOM somnetwork = new SOM(3, names, inputs);
Console.WriteLine("----");
string row = "Water";
double[] water = new double[] { 0.0, 0.0, 0.0 };
int[] result = somnetwork.Result(water);
Console.WriteLine(row + " " + result[0] + " " + result[1]);
Console.ReadKey();
}
private void StartButton_Click(object sender, EventArgs e)
{
GenerateRandomInput(); // генеруємо дані
somnetwork = new SOM(length, input); // створюємо і вчимо мережу
// Прив'язка таблиць до DataGriedView
GeneratedNumbers.DataSource = GeneratedTable;
Result.DataSource = ResultTable;
insert.DataSource = ParametersTable;
// Створення колонок у таблицях
GeneratedTable.Columns.Add("ID");
for (int i = 0; i < parameters; i++)
{
string str = Convert.ToString(i + 1);
GeneratedTable.Columns.Add(str);
}
ResultTable.Columns.Add("ID");
ResultTable.Columns.Add("Winning Neuron coordinates");
ResultTable.Columns.Add("Cluster");
ParametersTable.Columns.Add("Parameters");
// Додавання рядків у таблиці
for (int i = 0; i < size; i++)
{
DataRow row = GeneratedTable.NewRow();
row[0] = i + 1;
for (int j = 0; j < parameters; j++)
{
row[j + 1] = Math.Round(input[i][j], 3);
}
GeneratedTable.Rows.Add(row);
}
int[][] result = somnetwork.Result();
for (int i = 0; i < size; i++)
{
DataRow row = ResultTable.NewRow();
row[0] = i + 1;
row[1] = Convert.ToString(result[i][0] + "; " + result[i][1]);
row[2] = result[i][2];
ResultTable.Rows.Add(row);
}
for (int i = 0; i < parameters; i++)
{
DataRow row = ParametersTable.NewRow();
ParametersTable.Rows.Add(row);
}
}
private void TestButton_Click(object sender, EventArgs e)
{
double[] test = new double[parameters];
int i = 0;
foreach (DataGridViewRow row in insert.Rows)
{
foreach (DataGridViewCell cell in row.Cells)
{
test[i] = Convert.ToDouble(cell.Value.ToString());
i++;
}
}
int[] output = new int[3];
output = somnetwork.Result(test);
Coordinates.Text = Convert.ToString(output[0] + "; " + output[1]);
Cluster.Text = Convert.ToString(output[2]);
}