public Teaching this[TeachingMethodType type]
{
get
{
return(methods[(int)type]);
}
}
private void updateTable()
{
updateGrid();
try
{
foreach (DataGridViewRow row in ANN_table.Rows)
{
if (!row.IsNewRow)
{
string name = row.Cells[0].Value.ToString();
int input_neurons = Convert.ToInt32(row.Cells[1].Value);
int hidden_neurons = Convert.ToInt32(row.Cells[2].Value);
int output_neurons = Convert.ToInt32(row.Cells[3].Value);
TeachingMethodType teachingMethod = 0;
string tableName = row.Cells[4].Value.ToString();
if (tableName != "" && tableName != null)
{
string existingName = Array.Find(Enum.GetNames(typeof(TeachingMethodType)), nm => nm == tableName);
teachingMethod = (TeachingMethodType)Enum.GetValues(typeof(TeachingMethodType)).GetValue(Array.IndexOf(Enum.GetNames(typeof(TeachingMethodType)), existingName));
}
else
{
return;
}
if (!ann_manager.createANN(name, input_neurons, hidden_neurons, output_neurons, teachingMethod))
{
ann_manager.deleteANN(name);
ann_manager.createANN(name, input_neurons, hidden_neurons, output_neurons, teachingMethod);
}
}
}
}
catch (Exception) { }
}
public Teacher(TeachingMethodType teachingMethodType)
{
doTeaching = methods[teachingMethodType];
isTeaching = false;
}
public bool createANN(string name, int input_neurons_count, int hidden_neurons_count, int output_neurons_count, TeachingMethodType teachingMethod)
{
NeuralNetwork ann = new NeuralNetwork(input_neurons_count, hidden_neurons_count, output_neurons_count);
Teacher teacher = new Teacher(teachingMethod);
if (ann_table.Find(nn => nn.name == name) != null || ann.getANNInfo().isBroken)
{
return(false);
}
else
{
ann_table.Add(new ANN_table_item(name, ann, teacher));
return(true);
}
}
