internal void LoadTeachingSet(string fileName)
{
TeachingSet tset = NeuralNetworks.TeachingSet.FromFile(fileName);
if (tset == null || tset.Count == 0)
{
throw new ApplicationException("The file does not contain any data.");
}
_teachingSetFileName = fileName;
_teachingSet = tset;
_normalizedTeachingSet = new TeachingSet(tset);
_normalizedTeachingSet.Normalize();
_examinedNetwork = new LinearNetwork(tset.InputCount, tset.OutputCount);
InitializeTeaching();
}
internal void LoadTeachingSet(string fileName)
{
TeachingSet tset = NeuralNetworks.TeachingSet.FromFile(fileName);
if (tset == null || tset.Count == 0)
{
throw new ApplicationException("The file does not contain any data.");
}
if (tset.OutputCount != 1)
{
throw new ApplicationException(
"The file you supplied describe a learning set for the " +
"multi-neuron network. This application is capable of " +
"learning only one neuron. Please select a file that " +
"contains a learning set for one neuron.");
}
_teachingSetFileName = fileName;
_teachingSet = tset;
_examinedNeuron = new Neuron(tset.InputCount);
InitializeTeaching();
}
private void UseCustomTeachingSet()
{
if (uiOpenFile.ShowDialog(this) == DialogResult.OK)
{
string fname = uiOpenFile.FileName;
try
{
TeachingSet tset = TeachingSet.FromFile(fname);
if (tset.Count == 0)
{
MessageBox.Show(this, "The file contains no usable data.",
Application.ProductName, MessageBoxButtons.OK,
MessageBoxIcon.Error);
uiStandardSet.Checked = true;
return;
}
if (tset.InputCount != 2 || tset.OutputCount != 1)
{
MessageBox.Show(this,
"The file should be made for a 2-input, 1-output network.",
Application.ProductName, MessageBoxButtons.OK,
MessageBoxIcon.Error);
uiStandardSet.Checked = true;
return;
}
_teachingSet = tset;
ShowTeachingSet();
RestartTeaching();
}
catch (Exception ex)
{
MessageBox.Show(this,
"Could not open the selected file.\n\nDetails: " + ex.Message,
Application.ProductName, MessageBoxButtons.OK,
MessageBoxIcon.Error);
uiStandardSet.Checked = true;
}
}
}
private void UseStandardTeachingSet()
{
/* We divide by 2, because each teaching set part takes half
* of the gap size as its offset. */
double offset = GetGapSize(uiGapSize.Value) / 2.0;
_teachingSet = new TeachingSet(2, 1);
TeachingSet.Element elem = new TeachingSet.Element();
for (int x = 0; x < 3; x++)
{
for (int y = 0; y < 3; y++)
{
// Careful! We shouldn't make anything 0; it will render
// the element unuseful.
elem.Inputs =
new double[] { 0.2 + x * 0.2 + offset, -0.3 + y * 0.2 };
elem.ExpectedOutputs = new double[] { 1.0 };
_teachingSet.Add(elem);
elem.Inputs =
new double[] { -0.2 - x * 0.2 - offset, -0.3 + y * 0.2 };
elem.ExpectedOutputs = new double[] { -1.0 };
_teachingSet.Add(elem);
}
}
elem.Inputs = new double[] { offset, 0.3 };
elem.ExpectedOutputs = new double[] { 1.0 };
_teachingSet.Add(elem);
elem.Inputs = new double[] { -offset, 0.3 };
elem.ExpectedOutputs = new double[] { -1.0 };
_teachingSet.Add(elem);
ShowTeachingSet();
RestartTeaching();
}
