Пример #1
0
        public Backpropagation(Perceptron perceptron, Data.LearningParam param)
        {
            this.perceptron = perceptron;
            this.param = param;
            layers = perceptron.Size;

            int n = perceptron.MaxLayerSize;
            w = new double[layers, n, n];
            w1 = new double[layers, n, n];
            endthread = true;
        }
Пример #2
0
        private void _learnButton_Click(object sender, EventArgs e)
        {
            Data.LearningParam param = new Data.LearningParam();
            String inputName = this._comboInputLearnData.Text,
                    outputName;

            outputName = this._comboOutputLearnData.Text;

            this._tboxError.Text = "";
            try
            {
                if (((List<double[]>)data[inputName])[0].Length != perceptron.getLayer(0).Size)
                    throw new Exception("Wrong input data size");
                if (((List<double[]>)data[outputName])[0].Length != perceptron.getLayer(perceptron.Size-1).Size)
                    throw new Exception("Wrong output data size");
            }
            catch(Exception ex)
            {
                MessageBox.Show(ex.Message, "Warning");
                return;
            }
            
            try
            {
                //check if size of input and output data is proper
                

                param.Input = (List<double[]>)data[inputName];
                param.Output = (List<double[]>)data[outputName];
                param.Alpha = Double.Parse(this._tboxAlpha.Text);
                param.Epsilon = Double.Parse(this._tboxEpsilon.Text);
                if (this._radioDiffTeta.Checked == true)
                    param.OneTeta = false;
                else
                    param.OneTeta = true;
                param.Teta = Double.Parse(this._tboxTeta.Text);
                if (this._radioEarlyStop.Checked == true)
                {
                    param.EarlyStop = true;
                    param.LearnSet = double.Parse(this._tboxLearnSet.Text);
                    param.ValidateSet = double.Parse(this._tboxValidateSet.Text);
                    param.TestSet = double.Parse(this._tboxTestSet.Text);
                }
                else
                {
                    param.EarlyStop = true;
                    param.KFoldSamples = int.Parse(this._tboxKFold.Text);
                }
                
                backprop.Param = param;
                backprop.TBoxError = this._tboxError;
                backprop.StartButton= this._buttonLearn;
                backprop.ContinueButton = this._buttonContinueLearn;
                backprop.StopButton = this._buttonStopLearn;

                backprop.StartLearn();
             }
            catch(Exception ex)
            {
                Console.Out.WriteLine(ex.Message);
                MessageBox.Show("Some learning problem has occured", "Warning");
            }


        }