public List <string[]> SelectNeuroNetDefinitions()
{
List <string[]> defs = new List <string[]>();
connector.ConnectToDB();
SQLiteCommand cmd = new SQLiteCommand(connector.connection);
cmd.CommandText = "SELECT NeuroNet.Name, TopologyTypeName, TASK.NAME, NeuronCount, " +
"LayerCount, ActivateFunctionType " +
"FROM NeuroNet,TASK WHERE NeuroNet.TaskID = TASK.ID";
try
{
SQLiteDataReader reader = cmd.ExecuteReader();
while (reader.Read())
{
string[] line = new string[6];
for (int i = 0; i < 6; i++)
{
line[i] = reader[i].ToString();
}
line[1] = LibraryOfTopologies.GetTopologyName(line[1]);
line[5] = LibraryOfActivateFunctions.GetActivateFunctionName(line[5]);
defs.Add(line);
}
reader.Close();
}
catch (SQLiteException ex)
{
MessageBox.Show(ex.Message);
}
connector.DisconnectFromDB();
return(defs);
}
public string[] SelectNeuroNetDefinitionByName(string name)
{
connector.ConnectToDB();
SQLiteCommand cmd = new SQLiteCommand(connector.connection);
cmd.CommandText = "SELECT NeuroNet.Name, TopologyTypeName, TASK.NAME, NeuronCount, " +
"LayerCount, NeuronsInLayer, ActivateFunctionType, AFParameters " +
"FROM NeuroNet,TASK WHERE NeuroNet.TaskID = TASK.ID AND NeuroNet.Name ='"
+ name + "'";
string[] line = new string[8];
try
{
SQLiteDataReader reader = cmd.ExecuteReader();
while (reader.Read())
{
for (int i = 0; i < 8; i++)
{
line[i] = reader[i].ToString();
}
}
line[1] = LibraryOfTopologies.GetTopologyName(line[1]);
line[6] = LibraryOfActivateFunctions.GetActivateFunctionName(line[6]);
reader.Close();
}
catch (SQLiteException ex)
{
MessageBox.Show(ex.Message);
}
connector.DisconnectFromDB();
return(line);
}
public void InsertTopologyOfNeuroNet(string NameNN, string TopologyTypeName,
int CountNeurons, int CountLayers, int[] NeuronsInLayers, LoadingWindow loadingWindow)
{
connector.ConnectToDB();
SQLiteCommand cmd = new SQLiteCommand(connector.connection);
cmd.CommandText = "SELECT ID FROM NeuroNet WHERE Name = '" + NameNN + "'";
int NetID = Convert.ToInt32(cmd.ExecuteScalar());
Topology topology = LibraryOfTopologies.GetTopology(TopologyTypeName,
LibraryOfTopologies.GetterParameter.TypeOfTopologyName);
bool[,] connections = topology.CreateNet(CountNeurons, CountLayers, NeuronsInLayers);
double progressValue = 0.0;
for (int i = 0; i < CountNeurons; i++)
{
for (int j = 0; j < CountNeurons; j++)
{
if (connections[i, j] == true)
{
cmd.CommandText = "INSERT INTO NetTopology (IndexInputNeuron, " +
"IndexOutputNeuron, NeuroNetID) values('" + Convert.ToString(j) +
"','" + Convert.ToString(i) + "','" + Convert.ToString(NetID) + "')";
cmd.ExecuteNonQuery();
}
progressValue += 100.0 / Convert.ToDouble(CountNeurons * CountNeurons);
Action f = new Action(() => loadingWindow.LoadingBar.Value = Convert.ToInt32(progressValue));
if (loadingWindow.LoadingBar.InvokeRequired)
{
loadingWindow.LoadingBar.Invoke(f);
}
else
{
f();
}
}
}
connector.DisconnectFromDB();
loadingWindow.Invoke(new Action(() => loadingWindow.Close()));
}
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;
}
}
private void LoadNeuroNetIntoDB()
{
if (mode == form_destination.Creating)
{
try
{
string NameNN = tbNameNeuroNet.Text;
if (NameNN == "")
{
throw new Exception("Имя НС не может быть пустым");
}
if (dbHandler.IsNeuroNetExist(NameNN))
{
throw new Exception("Такое имя НС уже используется");
}
if (cbTopology.SelectedItem == null)
{
throw new Exception("Необходимо выбрать топологию");
}
string TopologyTypeName = LibraryOfTopologies.GetTopologyTypeName(cbTopology.SelectedItem.ToString());
if (cbTask.SelectedItem == null)
{
throw new Exception("Необходимо выбрать задачу");
}
string TaskName = cbTask.SelectedItem.ToString();
int CountNeurons = Convert.ToInt32(numNeuronsNumber.Value);
int CountLayers = Convert.ToInt32(numLayersNumber.Value);
string typeAF = LibraryOfActivateFunctions.GetActivateFunctionTypeName(cbActivateFunction.SelectedItem.ToString());
if (cbActivateFunction.SelectedIndex < 0)
{
throw new Exception("Необходимо выбрать активационную функцию");
}
string NeuronsInLayers = "";
int[] NeuInL = new int[CountLayers];
string ParametersAF = "";
int sumNeurons = 0;
for (int i = 0; i < CountLayers; i++)
{
int neurs = Convert.ToInt32(dgwEditNeuronsInLayers.Rows[i].Cells[1].Value);
if (neurs <= 0)
{
throw new Exception("В каждом слое должен быть по крайней мере 1 нейрон");
}
sumNeurons += neurs;
NeuInL[i] = neurs;
NeuronsInLayers += Convert.ToString(dgwEditNeuronsInLayers.Rows[i].Cells[1].Value);
if (i != CountLayers - 1)
{
NeuronsInLayers += " ";
}
}
if (sumNeurons != CountNeurons)
{
throw new Exception("Сумма нейронов по слоям должна равняться общему числу нейронов");
}
for (int i = 0; i < LibraryOfActivateFunctions.GetCountParametersOfAF(typeAF,
LibraryOfActivateFunctions.GetterParameter.TypeOfActivateFunctionName); i++)
{
double par = Convert.ToDouble(dgwEditParametersAF.Rows[i].Cells[1].Value);
ParametersAF += Convert.ToString(par);
if (i != LibraryOfActivateFunctions.GetCountParametersOfAF(typeAF,
LibraryOfActivateFunctions.GetterParameter.TypeOfActivateFunctionName) - 1)
{
ParametersAF += " ";
}
}
dbHandler.InsertNeuroNet(NameNN, TopologyTypeName, TaskName, CountNeurons, CountLayers, NeuronsInLayers, typeAF, ParametersAF);
LoadingWindow loadingWindow = new LoadingWindow();
loadingWindow.MakeLoading(
() => dbHandler.InsertTopologyOfNeuroNet(NameNN, TopologyTypeName, CountNeurons, CountLayers, NeuInL, loadingWindow),
"Запись нейронной сети в БД");
Close();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
else if (mode == form_destination.Editing)
{
try
{
string NameNN = tbNameNeuroNet.Text;
if (NameNN == "")
{
throw new Exception("Имя НС не может быть пустым");
}
if (cbTopology.SelectedItem == null)
{
throw new Exception("Необходимо выбрать топологию");
}
string TopologyTypeName = LibraryOfTopologies.GetTopologyTypeName(cbTopology.SelectedItem.ToString());
string TaskName = cbTask.SelectedItem.ToString();
int CountNeurons = Convert.ToInt32(numNeuronsNumber.Value);
int CountLayers = Convert.ToInt32(numLayersNumber.Value);
string typeAF = LibraryOfActivateFunctions.GetActivateFunctionTypeName(cbActivateFunction.SelectedItem.ToString());
string NeuronsInLayers = "";
int[] NeuInL = new int[CountLayers];
double[] ParAF = new double[LibraryOfActivateFunctions.GetCountParametersOfAF(typeAF,
LibraryOfActivateFunctions.GetterParameter.TypeOfActivateFunctionName)];
string ParametersAF = "";
int sumNeurons = 0;
for (int i = 0; i < CountLayers; i++)
{
int neurs = Convert.ToInt32(dgwEditNeuronsInLayers.Rows[i].Cells[1].Value);
if (neurs <= 0)
{
throw new Exception("В каждом слое должен быть по крайней мере 1 нейрон");
}
sumNeurons += neurs;
NeuInL[i] = neurs;
NeuronsInLayers += Convert.ToString(dgwEditNeuronsInLayers.Rows[i].Cells[1].Value);
if (i != CountLayers - 1)
{
NeuronsInLayers += " ";
}
}
if (sumNeurons != CountNeurons)
{
throw new Exception("Сумма нейронов по слоям должна равняться общему числу нейронов");
}
for (int i = 0; i < LibraryOfActivateFunctions.GetCountParametersOfAF(typeAF,
LibraryOfActivateFunctions.GetterParameter.TypeOfActivateFunctionName); i++)
{
ParAF[i] = Convert.ToDouble(dgwEditParametersAF.Rows[i].Cells[1].Value);
ParametersAF += Convert.ToString(dgwEditParametersAF.Rows[i].Cells[1].Value);
if (i != LibraryOfActivateFunctions.GetCountParametersOfAF(typeAF,
LibraryOfActivateFunctions.GetterParameter.TypeOfActivateFunctionName) - 1)
{
ParametersAF += " ";
}
}
bool isContining = true;
bool isNeuronsInLayersSame = false;
bool isParametersAFSame = false;
bool isNeedToDelete = false;
if (CountLayers == definition_of_editing_net.LayerCount)
{
int k = 0;
for (int i = 0; i < CountLayers; i++)
{
if (NeuInL[i] == definition_of_editing_net.NeuronsInLayer[i])
{
k++;
}
}
if (k == CountLayers)
{
isNeuronsInLayersSame = true;
}
}
if (String.Compare(cbActivateFunction.SelectedItem.ToString(), definition_of_editing_net.ActivateFunction) == 0)
{
int k = 0;
for (int i = 0; i < definition_of_editing_net.AFParameters.Length; i++)
{
if (ParAF[i] == definition_of_editing_net.AFParameters[i])
{
k++;
}
}
if (k == definition_of_editing_net.AFParameters.Length)
{
isParametersAFSame = true;
}
}
if (String.Compare(TaskName, definition_of_editing_net.TaskName) != 0 ||
String.Compare(TopologyTypeName, definition_of_editing_net.TopologyName) != 0 ||
CountNeurons != definition_of_editing_net.NeuronsCount ||
isNeuronsInLayersSame == false || isParametersAFSame == false)
{
DialogResult res = MessageBox.Show("Данные изменения влекут удаление обученных весов сети. " +
"Нейронную сеть необходимо будет обучать заново.", "Предупреждение потери данных", MessageBoxButtons.OKCancel);
isNeedToDelete = true;
if (res == DialogResult.Cancel)
{
isContining = false;
}
}
if (isContining == true)
{
if (isNeedToDelete == true)
{
LoadingWindow loadingWindow = new LoadingWindow();
if (isNeuronsInLayersSame && (String.Compare(cbTopology.SelectedItem.ToString(), definition_of_editing_net.TopologyName) == 0))
{
loadingWindow.MakeLoading(
() => dbHandler.DeleteWeightsMatrix(definition_of_editing_net.Name, loadingWindow),
"Удаление устаревших весовых коэффициентов");
}
else
{
loadingWindow.MakeLoading(
() => dbHandler.DeleteTopologyAndWeightsMatrix(definition_of_editing_net.Name, loadingWindow),
"Удаление старой топологии нейронной сети");
loadingWindow.MakeLoading(
() => dbHandler.InsertTopologyOfNeuroNet(definition_of_editing_net.Name, TopologyTypeName, CountNeurons, CountLayers, NeuInL, loadingWindow),
"Запись измененной нейронной сети в БД");
}
}
dbHandler.UpdateNeuroNet(NameNN, definition_of_editing_net.Name, TopologyTypeName, TaskName, CountNeurons, CountLayers,
NeuronsInLayers, typeAF, ParametersAF);
Close();
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
}