Ejemplo n.º 1
0
        public MainForm()
        {
            InitializeComponent();

            OpenWaitWindow("Launching the application, please wait...");

            m_MainNeuralNet = new MainNeuralNetwork();
            // Считывание входов и выходов из файлов для обучения, исключения
            string s_InputTrainDataFile  = AppDomain.CurrentDomain.BaseDirectory + "InputTrainData.txt";
            string s_OutputTrainDataFile = AppDomain.CurrentDomain.BaseDirectory + "OutputTrainData.txt";

            if (!File.Exists(s_InputTrainDataFile) ||
                !File.Exists(s_OutputTrainDataFile))
            {
                MessageBox.Show("'InputTrainData.txt' or 'OutputTrainData.txt' with data for training are absent, put them in a folder with the application.");
                Close();
            }
            string s_KnowledgeBaseFile = AppDomain.CurrentDomain.BaseDirectory + "KnowledgeBase.n3";

            if (!File.Exists(s_KnowledgeBaseFile))
            {
                MessageBox.Show("'KnowledgeBase.n3' with knowledgebase is absent, put her in a folder with the application.");
                Close();
            }

            int i_InputCount = 0;

            using (StreamReader s_Reader = new StreamReader(s_InputTrainDataFile))
            {
                i_InputCount = s_Reader.ReadLine().Split('\t').Length;
            }
            int i_OutputCount = 0;

            using (StreamReader s_Reader = new StreamReader(s_OutputTrainDataFile))
            {
                i_OutputCount = s_Reader.ReadLine().Split('\t').Length;
            }
            // Подключение к БЗ и получение данных
            k_Base = new KnowledgeBase(s_KnowledgeBaseFile);
            k_Base.GetDataKnowledgeNet();
            l_LayersKnowledgeNet = k_Base.GetKnowledgeNet;

            // Добавление диагностируемых параметров в таблицу
            d_InputTable.Rows.Clear();
            d_InputTable.Rows.Add("Average packet path length, m", "", "");
            d_InputTable.Rows.Add("Network load, bps", "", "");
            d_InputTable.Rows.Add("Data transfer volume, bit", "", "");

            m_Monitoring = new Monitoring(m_MainNeuralNet, l_LayersKnowledgeNet, d_InputTable, p_NetworkStatusPanel,
                                          c_Graph);

            // Инициализация формы с инструментами для мониторинга
            s_Form = new SetUpMonitoringToolsForm(m_MainNeuralNet, i_InputCount, i_OutputCount, s_InputTrainDataFile, s_OutputTrainDataFile, m_Monitoring);

            CloseWaitWindow();
        }
 public SetUpMonitoringToolsForm(MainNeuralNetwork m_MainNet, int i_InputCount, int i_OutputCount, string s_InputTrainDataFile,
                                 string s_OutputTrainDataFile, Monitoring m_Monitoring)
 {
     InitializeComponent();
     this.m_MainNet             = m_MainNet;
     this.i_InputCount          = i_InputCount;
     this.i_OutputCount         = i_OutputCount;
     this.s_InputTrainDataFile  = s_InputTrainDataFile;
     this.s_OutputTrainDataFile = s_OutputTrainDataFile;
     this.m_Monitoring          = m_Monitoring;
     b_Run           = false;
     b_RunMonitoring = false;
 }