public List <string[]> SelectNeuronsInLayers(string NeuroNetName, int countNeurons, string NameAF)
{
int IDAF = LibraryOfActivateFunctions.GetCountParametersOfAF(NameAF,
LibraryOfActivateFunctions.GetterParameter.ActivateFunctionName);
if (IDAF != -1)
{
List <string[]> ls = new List <string[]>();
connector.ConnectToDB();
SQLiteCommand cmd = new SQLiteCommand(connector.connection);
int[] neurons = new int[countNeurons];
double[] valuesPars = new double[IDAF];
cmd.CommandText = "SELECT NeuronsInLayer " +
"FROM NeuroNet,TASK WHERE NeuroNet.TaskID = TASK.ID AND NeuroNet.Name ='" +
NeuroNetName + "'";
try
{
string line = Convert.ToString(cmd.ExecuteScalar());
int k = 0;
int j = 0;
string buf = "";
string[] row;
while (j < line.Length)
{
row = new string[2];
if (line[j] != ' ')
{
buf += line[j];
}
else
{
row[0] = Convert.ToString(k + 1);
row[1] = buf;
ls.Add(row);
k++;
buf = "";
}
j++;
}
row = new string[2];
row[0] = Convert.ToString(k + 1);
row[1] = buf;
ls.Add(row);
}
catch (SQLiteException ex)
{
MessageBox.Show(ex.Message);
}
connector.DisconnectFromDB();
return(ls);
}
else
{
throw new Exception("No such name of Activate Function!");
}
}
public NeuroNetDefinition(string[] definition)
{
if (definition.Length != 8)
{
throw new Exception("Definition is not valid");
}
name = definition[0];
topologyTypeName = definition[1];
task_name = definition[2];
neurons_count = Convert.ToInt32(definition[3]);
layer_count = Convert.ToInt32(definition[4]);
neurons_in_layer = new int[layer_count];
int k = 0;
for (int i = 0; i < layer_count; i++)
{
string buf = "";
while (k < definition[5].Length && definition[5][k] != ' ')
{
buf += definition[5][k];
k++;
}
k++;
if (buf.Length != 0)
{
neurons_in_layer[i] = Convert.ToInt32(buf);
}
}
activate_function = definition[6];
af_parameters = new double[LibraryOfActivateFunctions.GetCountParametersOfAF(activate_function,
LibraryOfActivateFunctions.GetterParameter.ActivateFunctionName)];
k = 0;
for (int i = 0; i < af_parameters.Length; i++)
{
string buf = "";
while (k < definition[7].Length && definition[7][k] != ' ')
{
buf += definition[7][k];
k++;
}
k++;
if (buf.Length != 0)
{
af_parameters[i] = Convert.ToDouble(buf);
}
}
}
private void RefreshDgwParametersAF()
{
dgwEditParametersAF.Rows.Clear();
int countParameters = LibraryOfActivateFunctions.GetCountParametersOfAF(cbActivateFunction.SelectedItem.ToString(),
LibraryOfActivateFunctions.GetterParameter.ActivateFunctionName);
ActivateFunction af = LibraryOfActivateFunctions.GetActivateFunction(cbActivateFunction.SelectedItem.ToString(),
LibraryOfActivateFunctions.GetterParameter.ActivateFunctionName);
for (int i = 0; i < countParameters; i++)
{
string[] row = new string[2];
row[0] = Convert.ToString(af.GetNameOfParameter(i));
row[1] = Convert.ToString(af.GetDefaultValueOfParameter(i));
dgwEditParametersAF.Rows.Add(row);
dgwEditParametersAF.Rows[i].Cells[0].ReadOnly = true;
}
}
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);
}
}
}