상속: xpidea.neuro.net.son.SelfOrganizingNetwork
예제 #1
0
        private void button1_Click(object sender, EventArgs e)
        {
            {
                var data        = new PatternsCollection(PatternsCount, InputsCount, OutputsCount);
                var checkedItem = GetCheckedIndex();
                if (checkedItem > 6)
                {
                    switch (checkedItem)
                    {
                    case 7:
                    {
                        PatternStyles.BuildEvenSquare(data);
                        break;
                    }

                    case 8:
                    {
                        PatternStyles.BuildEvenCircle(data);
                        break;
                    }
                    }
                }
                else
                {
                    for (var i = 1; i <= PatternsCount; i++)
                    {
                        double x = 0;
                        double y = 0;
                        switch (checkedItem)
                        {
                        case 0:
                        {
                            PatternStyles.BuildSquare(out x, out y);
                            break;
                        }

                        case 1:
                        {
                            PatternStyles.BuildDimond(out x, out y);
                            break;
                        }

                        case 2:
                        {
                            PatternStyles.BuildPlus(out x, out y);
                            break;
                        }

                        case 3:
                        {
                            PatternStyles.BuildRing(out x, out y);
                            break;
                        }

                        case 4:
                        {
                            PatternStyles.BuildCircle(out x, out y);
                            break;
                        }

                        case 5:
                        {
                            PatternStyles.BuildTwoCircles(out x, out y);
                            break;
                        }

                        case 6:
                        {
                            PatternStyles.ChessBoard(out x, out y);
                            break;
                        }

                        default:
                            throw new ApplicationException("Please select pattern styly!");
                        }
                        SetPattern(data, i, x, y);
                    }
                }


                var LearningRateStart       = 0.7;
                var LearningRateEnds        = 0.05;
                var InitialNeighborhoodSize = 5;
                var NeighborhoodDecrRate    = 5;
                var Iterations = 2000;
                var a          = new MySelfOrganizingNetwork(InputsCount, MapSize, MapSize, LearningRateStart, LearningRateEnds,
                                                             InitialNeighborhoodSize, Iterations / NeighborhoodDecrRate, Iterations);
                a.control = panel1;
                a.Train(data);
                data = null;
                a    = null;
            }
        }
예제 #2
0
        private void button1_Click(object sender, EventArgs e)
        {
            {
                var data = new PatternsCollection(PatternsCount, InputsCount, OutputsCount);
                var checkedItem = GetCheckedIndex();
                if (checkedItem > 6)
                    switch (checkedItem)
                    {
                        case 7:
                        {
                            PatternStyles.BuildEvenSquare(data);
                            break;
                        }
                        case 8:
                        {
                            PatternStyles.BuildEvenCircle(data);
                            break;
                        }
                    }
                else
                {
                    for (var i = 1; i <= PatternsCount; i++)
                    {
                        double x = 0;
                        double y = 0;
                        switch (checkedItem)
                        {
                            case 0:
                            {
                                PatternStyles.BuildSquare(out x, out y);
                                break;
                            }
                            case 1:
                            {
                                PatternStyles.BuildDimond(out x, out y);
                                break;
                            }
                            case 2:
                            {
                                PatternStyles.BuildPlus(out x, out y);
                                break;
                            }
                            case 3:
                            {
                                PatternStyles.BuildRing(out x, out y);
                                break;
                            }
                            case 4:
                            {
                                PatternStyles.BuildCircle(out x, out y);
                                break;
                            }
                            case 5:
                            {
                                PatternStyles.BuildTwoCircles(out x, out y);
                                break;
                            }
                            case 6:
                            {
                                PatternStyles.ChessBoard(out x, out y);
                                break;
                            }
                            default:
                                throw new ApplicationException("Please select pattern styly!");
                        }
                        SetPattern(data, i, x, y);
                    }
                }


                var LearningRateStart = 0.7;
                var LearningRateEnds = 0.05;
                var InitialNeighborhoodSize = 5;
                var NeighborhoodDecrRate = 5;
                var Iterations = 2000;
                var a = new MySelfOrganizingNetwork(InputsCount, MapSize, MapSize, LearningRateStart, LearningRateEnds,
                    InitialNeighborhoodSize, Iterations/NeighborhoodDecrRate, Iterations);
                a.control = panel1;
                a.Train(data);
                data = null;
                a = null;
            }
        }