Ejemplo n.º 1
0
        //тест для Format Data
        private void buttonFormatTest_Click(object sender, EventArgs e)
        {
            if (Information.isFormatLearn)
            {
                openFileDialog1.FileName         = "Выбор файла NN";
                openFileDialog1.Filter           = "*(*.txt)|*.txt";
                openFileDialog1.InitialDirectory = Directory.GetCurrentDirectory() + @"\formatData";
                if (openFileDialog1.ShowDialog() == DialogResult.OK)
                {
                    string filePath = openFileDialog1.FileName;
                    Information.FormatFilePath = filePath;
                }

                if (Information.FormatFilePath != "")
                {
                    Tuple <PatternsType, KeysType, AnswersType> data
                        = FormatLoad(Information.FormatFilePath);
                    PatternsType pattList = data.Item1;
                    KeysType     keys     = data.Item2;
                    AnswersType  answList = data.Item3;
                    Information.NN.FormatTest(pattList, keys, answList);
                }
            }
            else
            {
                printErrorMessage("Format Learn Nor Active!");
            }
        }
Ejemplo n.º 2
0
        //загрузка Format Data из файла
        private Tuple <PatternsType, KeysType, AnswersType> FormatLoad(string filePath)
        {
            string message = "Данные загружены из ";

            message += filePath + "\r\n";
            PatternsType patts = new PatternsType();
            KeysType     keys  = new KeysType();
            AnswersType  answs = new AnswersType();

            #region Read Answers
            int    posLastSlesh = filePath.LastIndexOf('\\');
            string answersPath  = filePath.Substring(0, posLastSlesh);
            answersPath += "\\answers.txt";
            answs        = LoadVec.LoadFloatVecWithKey(answersPath);
            #endregion
            #region Read Patterns
            string[] readText = File.ReadAllLines(filePath);
            foreach (string s in readText)
            {
                if (s.Trim() != "")
                {
                    string[]     elemsStr = s.Split(new char[] { ',' });
                    List <float> vec      = new List <float>(elemsStr.Length - 1);
                    string       key      = elemsStr[0];
                    for (int i = 1; i < elemsStr.Length; i++)
                    {
                        float floatEl;
                        bool  ok = float.TryParse(elemsStr[i], out floatEl);
                        if (ok)
                        {
                            vec.Add(floatEl);
                        }
                        else
                        {
                            FormConsole.PrintlnAndScroll("error try parse");
                            return(new Tuple <PatternsType, KeysType, AnswersType>(null, null, null));
                        }
                    }
                    patts.Add(vec);
                    keys.Add(key);
                }
            }
            #endregion
            FormConsole.PrintlnAndScroll(message);
            return(new Tuple <PatternsType, KeysType, AnswersType>(patts, keys, answs));
        }
Ejemplo n.º 3
0
        //Тест количество верных ответов для mnist TestDigits
        public void FormatTest(PatternsType patterns, KeysType keys, AnswersType answers)
        {
            FormConsole.PrintlnAndScroll("\r\nstart Format Test");
            int testCount = patterns.Count;
            int goodCount = 0;

            int[] pattSuccess = new int[answers.Count];
            for (int i = 0; i < testCount; i++)
            {
                List <float> input = patterns[i];
                if (IsBiasNeuron && input.Count != this.inputLayer.SizeNeurons)
                {
                    input.Add(1);
                }
                string       label  = keys[i];
                List <float> output = Run(input, IsBiasNeuron);
                if (IsCorrectAnswer(output, answers[label]))
                {
                    goodCount++;
                    int num = 0;
                    if (int.TryParse(label, out num))
                    {
                        pattSuccess[num]++;
                    }
                }
                if (i % 1000 == 0)
                {
                    FormConsole.PrintlnAndScroll("i = " + i + " goodCount = " + goodCount);
                }
            }
            FormConsole.PrintlnAndScroll("goodCount = " + goodCount
                                         + "\r\nfinish Mnist Test");
            for (int i = 0; i < pattSuccess.Length; i++)
            {
                FormConsole.AppendText(i + ": " + pattSuccess[i].ToString() + "\r\n");
            }
        }
Ejemplo n.º 4
0
        //Начать учить НН
        private async void startLearnNN(object sender, EventArgs e)
        {
            int MaxEp;

            if (int.TryParse(textBoxLearnRate.Text, out MaxEp))
            {
                Information.NN.MaxEp = MaxEp;
            }
            int DistPrint;

            if (int.TryParse(textBoxMoment.Text, out DistPrint))
            {
                Information.NN.DistPrint = DistPrint;
            }

            if (Information.pattNames.Count == Information.answNames.Count &&
                Information.pattNames.Count != 0)
            {
                string[]             fileNames1 = Information.pattNames.ToArray();
                LoadFromFile         lF1        = new LoadFromFile(fileNames1);
                string[]             fileNames2 = Information.answNames.ToArray();
                LoadFromFile         lF2        = new LoadFromFile(fileNames2);
                List <List <float> > pattList   = lF1.ConvertIntoList();
                List <List <float> > answList   = lF2.ConvertIntoList();
                Information.NN.Learning(pattList.Count, pattList, answList);
            }
            else if (Information.isMnistLearn && Information.answNames.Count == 10)
            {
                ReadMnist readMnist = new ReadMnist(true, false);
                //File.WriteAllLines("mnist_data.txt", Information.mnistStrs);
                string[]             fileNames2 = Information.answNames.ToArray();
                LoadFromFile         lF2        = new LoadFromFile(fileNames2);
                List <List <float> > answList   = lF2.ConvertIntoList();
                Information.NN.LearningMnist(readMnist, answList);
            }
            else if (Information.isFormatLearn)
            {
                if (Information.NN != null)
                {
                    openFileDialog1.FileName         = "Выбор файла NN";
                    openFileDialog1.Filter           = "*(*.txt)|*.txt";
                    openFileDialog1.InitialDirectory = Directory.GetCurrentDirectory() + @"\formatData";
                    if (openFileDialog1.ShowDialog() == DialogResult.OK)
                    {
                        string filePath = openFileDialog1.FileName;
                        Information.FormatFilePath = filePath;
                        Tuple <PatternsType, KeysType, AnswersType> data = FormatLoad(filePath);
                        PatternsType pattList = data.Item1;
                        KeysType     keys     = data.Item2;
                        AnswersType  answList = data.Item3;
                        await Information.NN.LearningFormat(pattList, keys, answList);
                    }
                    else
                    {
                        FormConsole.PrintlnAndScroll("erroe open file dialog");
                    }
                }
                else
                {
                    FormConsole.PrintlnAndScroll("erroe NN is not define");
                }
            }
            else
            {
                printErrorMessage("Неверно заданы образцы и ответы");
            }
        }
Ejemplo n.º 5
0
        //обучение с наилучгим форматом
        public Task LearningFormat(PatternsType patterns, KeysType keys, AnswersType answers)
        {
            int setCount = patterns.Count;

            System.Windows.Forms.RichTextBox console = FormConsole.console;
            console.AppendText("Learning Start\r\n");
            Information.form1.Refresh();
            if (IsBiasNeuron)
            {
                for (int i = 0; i < patterns.Count; i++)
                {
                    if (patterns[i].Count != this.inputLayer.SizeNeurons)
                    {
                        patterns[i].Add(1);
                    }
                }
            }
            float epsEpErr = 0.0000001f;

            float[] lastErrors = new float[3];
            for (int i = 0; i < lastErrors.Length; i++)
            {
                lastErrors[i] = i;
            }
            for (int ep = 0; ep < MAX_EP; ep++)
            {
                DateTime startEpTime    = DateTime.Now;
                bool     isStopLearning = true;
                float    sumEpErr       = 0;
                for (int setIter = 0; setIter < setCount; setIter++)
                {
                    List <float> input  = patterns[setIter];
                    string       label  = keys[setIter];
                    List <float> output = Run(input, IsBiasNeuron);
                    float        err    = ErrorSet.MSE(answers[label], output);
                    sumEpErr += err;
                    if (err > 0.03)
                    {
                        isStopLearning = false;
                    }
                    string outStr  = "";
                    string answStr = "";
                    foreach (var el in output)
                    {
                        outStr += Math.Round(el, 4) + " ";
                    }
                    foreach (var el in answers[label])
                    {
                        answStr += Math.Round(el, 4) + " ";
                    }
                    ChangeWeights(answers[label], output);
                    if (ep % DIST_PRINT == 0 && setIter % 100 == 0)
                    {
                        console.AppendText("ep = " + ep + " setIter = " + setIter
                                           + " err = " + Math.Round(err, 4) + "\r\n");
                        console.AppendText("out: " + outStr + "\r\n");
                        console.AppendText("answ: " + answStr + "\r\n");
                        console.AppendText("label = " + label + "\r\n");
                        TimeSpan epTime = DateTime.Now - startEpTime;
                        console.AppendText("timeEp = " + epTime.ToString("h'h 'm'm 's's'") + "\r\n");
                        console.SelectionStart = console.TextLength;
                        console.ScrollToCaret();
                        Information.form1.Refresh();
                    }
                }
                lastErrors[0] = lastErrors[1];
                lastErrors[1] = lastErrors[2];
                lastErrors[2] = sumEpErr / setCount;
                if (Math.Abs(lastErrors[0] - lastErrors[1]) < epsEpErr ||
                    Math.Abs(lastErrors[1] - lastErrors[2]) < epsEpErr)
                {
                    console.AppendText("exit epsEpErr\r\n");
                    console.AppendText(lastErrors[0] + "\r\n");
                    console.AppendText(lastErrors[1] + "\r\n");
                    console.AppendText(lastErrors[2] + "\r\n");
                    Information.form1.Refresh();
                    return(Task.CompletedTask);
                }
                if (isStopLearning)
                {
                    console.AppendText("exit isStopLearning\r\n");
                    Information.form1.Refresh();
                    return(Task.CompletedTask);
                }
            }
            console.AppendText("exit MAX_EP\r\n");
            Information.form1.Refresh();
            return(Task.CompletedTask);
        }