public DesisionTreeMainWindow()
{
InitializeComponent();
dbHandler = new DataBaseHandler();
desTreeInfo = new DataContainer<List<string[]>>();
learningInfo = new DataContainer<DataContainer<List<string>>>();
LoadInformationForUsingDesTrees();
}
public NeuroNetsMainWindow()
{
InitializeComponent();
Type ourtype = typeof(ActivateFunction); // Базовый тип
Assembly ast = Assembly.GetAssembly(ourtype);
Type[] types = ast.GetTypes();
IEnumerable <Type> list = Assembly.GetAssembly(ourtype).GetTypes().Where(type => type.IsSubclassOf(ourtype)); // using System.Linq
List <Type> aa = new List <Type>(list);
foreach (Type itm in aa)
{
ActivateFunction af1 = (ActivateFunction)Activator.CreateInstance(itm);
string name = af1.GetType().Name;
}
dbHandler = new DataBaseHandler();
neuroNetsInfo = new DataContainer <List <string[]> >();
learningInfo = new DataContainer <DataContainer <List <string> > >();
dgwNeuroNets.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwNeuroNets.Columns.Add("Name", "Имя");
dgwNeuroNets.Columns.Add("TopologyTypeName", "Топология");
dgwNeuroNets.Columns.Add("Task", "Задача");
dgwNeuroNets.Columns.Add("NeuronCount", "Количество нейронов");
dgwNeuroNets.Columns.Add("LayerCount", "Количество слоев");
dgwNeuroNets.Columns.Add("ActivateFunction", "Активационная функция");
dgwNeuronsInLayers.Columns.Add("Layer", "Слой");
dgwNeuronsInLayers.Columns.Add("Neurons", "Число нейронов");
dgwParamsAF.Columns.Add("Parameter", "Параметр");
dgwParamsAF.Columns.Add("Value", "Значение");
dgwNets.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwNets.Columns.Add("NeuroNet", "Нейронная сеть");
dgwNets.Columns.Add("TopologyTypeName", "Топология");
dgwNets.Columns.Add("NeuronCount", "Количество нейронов");
dgwNets.Columns.Add("LayerCount", "Количество слоев");
dgwLA.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwLA.Columns.Add("LearningAlgorithm", "Алгоритм обучения");
dgwLA.Columns.Add("LearningStatus", "Статус обучения");
LoadInformationForUsingNeuroNets();
FillNeuroNetChangingTable();
}
public NeuroNetsMainWindow()
{
InitializeComponent();
Type ourtype = typeof(ActivateFunction); // Базовый тип
Assembly ast = Assembly.GetAssembly(ourtype);
Type[] types = ast.GetTypes();
IEnumerable<Type> list = Assembly.GetAssembly(ourtype).GetTypes().Where(type => type.IsSubclassOf(ourtype)); // using System.Linq
List<Type> aa = new List<Type>(list);
foreach (Type itm in aa)
{
ActivateFunction af1 = (ActivateFunction)Activator.CreateInstance(itm);
string name = af1.GetType().Name;
}
dbHandler = new DataBaseHandler();
neuroNetsInfo = new DataContainer<List<string[]>>();
learningInfo = new DataContainer<DataContainer<List<string>>>();
dgwNeuroNets.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwNeuroNets.Columns.Add("Name", "Имя");
dgwNeuroNets.Columns.Add("TopologyTypeName", "Топология");
dgwNeuroNets.Columns.Add("Task", "Задача");
dgwNeuroNets.Columns.Add("NeuronCount", "Количество нейронов");
dgwNeuroNets.Columns.Add("LayerCount", "Количество слоев");
dgwNeuroNets.Columns.Add("ActivateFunction", "Активационная функция");
dgwNeuronsInLayers.Columns.Add("Layer", "Слой");
dgwNeuronsInLayers.Columns.Add("Neurons", "Число нейронов");
dgwParamsAF.Columns.Add("Parameter", "Параметр");
dgwParamsAF.Columns.Add("Value", "Значение");
dgwNets.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwNets.Columns.Add("NeuroNet", "Нейронная сеть");
dgwNets.Columns.Add("TopologyTypeName", "Топология");
dgwNets.Columns.Add("NeuronCount", "Количество нейронов");
dgwNets.Columns.Add("LayerCount", "Количество слоев");
dgwLA.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwLA.Columns.Add("LearningAlgorithm", "Алгоритм обучения");
dgwLA.Columns.Add("LearningStatus", "Статус обучения");
LoadInformationForUsingNeuroNets();
FillNeuroNetChangingTable();
}
public AddChangeNeuroNetDialog(DataBaseHandler _dbHandler, NeuroNetDefinition neuro_def = null)
{
InitializeComponent();
if (neuro_def == null)
mode = form_destination.Creating;
else
{
mode = form_destination.Editing;
definition_of_editing_net = neuro_def;
}
dbHandler = _dbHandler;
List<string> ls = dbHandler.SelectTasks();
foreach (string par in ls)
{
cbTask.Items.Add(par);
}
ls = LibraryOfTopologies.GetAllTopologyTypeNames();
foreach (string item in ls)
{
cbTopology.Items.Add(item);
}
string[] namesAF = LibraryOfActivateFunctions.GetAllActivateFunctionNames();
for (int i = 0; i < LibraryOfActivateFunctions.GetCountActivateFunctions(); i++)
{
cbActivateFunction.Items.Add(namesAF[i]);
}
ls = dbHandler.SelectCountParametersInTasks();
countInputParamsInTask = new int[ls.Count];
for (int i = 0; i < ls.Count; i++)
{
countInputParamsInTask[i] = Convert.ToInt32(ls[i]);
}
dgwEditNeuronsInLayers.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwEditNeuronsInLayers.Columns.Add("Layer", "Слой");
dgwEditNeuronsInLayers.Columns.Add("Neurons", "Число нейронов");
RefreshDgwNeuronsInLayers();
dgwEditParametersAF.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwEditParametersAF.Columns.Add("Parameter", "Параметр");
dgwEditParametersAF.Columns.Add("Value", "Значение");
switch (mode)
{
case form_destination.Creating:
Text = "Создание нейронной сети";
break;
case form_destination.Editing:
Text = "Изменение Нейронной Сети";
tbNameNeuroNet.Text = definition_of_editing_net.Name;
for (int i = 0; i < cbTask.Items.Count; i++)
{
if (String.Compare(cbTask.Items[i].ToString(), definition_of_editing_net.TaskName) == 0)
{
cbTask.SelectedIndex = i;
break;
}
}
for (int i = 0; i < cbTopology.Items.Count; i++)
{
if (String.Compare(cbTopology.Items[i].ToString(), definition_of_editing_net.TopologyName) == 0)
{
cbTopology.SelectedIndex = i;
break;
}
}
if (cbTopology.SelectedIndex == -1)
{
MessageBox.Show("Топология, примененная в данной нейронной сети, " +
"не найдена. Она будет недоступна при изменении сети.");
}
numNeuronsNumber.Value = definition_of_editing_net.NeuronsCount;
numLayersNumber.Value = definition_of_editing_net.LayerCount;
for (int i = 0; i < definition_of_editing_net.LayerCount; i++)
{
dgwEditNeuronsInLayers.Rows[i].Cells[1].Value = definition_of_editing_net.NeuronsInLayer[i];
}
for (int i = 0; i < cbActivateFunction.Items.Count; i++)
{
if (String.Compare(cbActivateFunction.Items[i].ToString(), definition_of_editing_net.ActivateFunction) == 0)
{
cbActivateFunction.SelectedIndex = i;
break;
}
}
for (int i = 0; i < definition_of_editing_net.AFParameters.Length; i++)
{
dgwEditParametersAF.Rows[i].Cells[1].Value = definition_of_editing_net.AFParameters[i];
}
break;
}
}
public AddChangeNeuroNetDialog(DataBaseHandler _dbHandler, NeuroNetDefinition neuro_def = null)
{
InitializeComponent();
if (neuro_def == null)
{
mode = form_destination.Creating;
}
else
{
mode = form_destination.Editing;
definition_of_editing_net = neuro_def;
}
dbHandler = _dbHandler;
List <string> ls = dbHandler.SelectTasks();
foreach (string par in ls)
{
cbTask.Items.Add(par);
}
ls = LibraryOfTopologies.GetAllTopologyTypeNames();
foreach (string item in ls)
{
cbTopology.Items.Add(item);
}
string[] namesAF = LibraryOfActivateFunctions.GetAllActivateFunctionNames();
for (int i = 0; i < LibraryOfActivateFunctions.GetCountActivateFunctions(); i++)
{
cbActivateFunction.Items.Add(namesAF[i]);
}
ls = dbHandler.SelectCountParametersInTasks();
countInputParamsInTask = new int[ls.Count];
for (int i = 0; i < ls.Count; i++)
{
countInputParamsInTask[i] = Convert.ToInt32(ls[i]);
}
dgwEditNeuronsInLayers.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwEditNeuronsInLayers.Columns.Add("Layer", "Слой");
dgwEditNeuronsInLayers.Columns.Add("Neurons", "Число нейронов");
RefreshDgwNeuronsInLayers();
dgwEditParametersAF.ColumnHeadersDefaultCellStyle.Font = new Font("Book Antiqua", 9);
dgwEditParametersAF.Columns.Add("Parameter", "Параметр");
dgwEditParametersAF.Columns.Add("Value", "Значение");
switch (mode)
{
case form_destination.Creating:
Text = "Создание нейронной сети";
break;
case form_destination.Editing:
Text = "Изменение Нейронной Сети";
tbNameNeuroNet.Text = definition_of_editing_net.Name;
for (int i = 0; i < cbTask.Items.Count; i++)
{
if (String.Compare(cbTask.Items[i].ToString(), definition_of_editing_net.TaskName) == 0)
{
cbTask.SelectedIndex = i;
break;
}
}
for (int i = 0; i < cbTopology.Items.Count; i++)
{
if (String.Compare(cbTopology.Items[i].ToString(), definition_of_editing_net.TopologyName) == 0)
{
cbTopology.SelectedIndex = i;
break;
}
}
if (cbTopology.SelectedIndex == -1)
{
MessageBox.Show("Топология, примененная в данной нейронной сети, " +
"не найдена. Она будет недоступна при изменении сети.");
}
numNeuronsNumber.Value = definition_of_editing_net.NeuronsCount;
numLayersNumber.Value = definition_of_editing_net.LayerCount;
for (int i = 0; i < definition_of_editing_net.LayerCount; i++)
{
dgwEditNeuronsInLayers.Rows[i].Cells[1].Value = definition_of_editing_net.NeuronsInLayer[i];
}
for (int i = 0; i < cbActivateFunction.Items.Count; i++)
{
if (String.Compare(cbActivateFunction.Items[i].ToString(), definition_of_editing_net.ActivateFunction) == 0)
{
cbActivateFunction.SelectedIndex = i;
break;
}
}
for (int i = 0; i < definition_of_editing_net.AFParameters.Length; i++)
{
dgwEditParametersAF.Rows[i].Cells[1].Value = definition_of_editing_net.AFParameters[i];
}
break;
}
}