Esempio n. 1
0
        public MainWindow()
        {
            AllocConsole();

            InitializeComponent();
            SinglePerceptron singlePerceptron = new SinglePerceptron();

            singlePerceptron.errorFunc_Batch();
            singlePerceptron.errorFunc_Online();
        }
Esempio n. 2
0
        private static void SinglePerceptromProgram2(int nInput)
        {
            SinglePerceptron nn2 = new SinglePerceptron(nInput);

            for (int i = 0; i < 1000; i++)
            {
                Random random = new Random(Guid.NewGuid().GetHashCode());
                double value1 = random.NextDouble();
                random = new Random(Guid.NewGuid().GetHashCode());
                double value2 = random.NextDouble();

                double y = Formula(value1);

                double result = value2 > y ? 1 : -1;

                nn2.Train(new List <double>()
                {
                    value1, value2
                }, result);
            }

            double n = 0;

            for (int i = 0; i < 200; i++)
            {
                Random random = new Random(Guid.NewGuid().GetHashCode());
                double value1 = random.NextDouble();
                random = new Random(Guid.NewGuid().GetHashCode());
                double value2 = random.NextDouble();

                double y = Formula(value1);

                double result = value2 > y ? 1 : -1;
                var    guess  = nn2.Predict(new List <double>()
                {
                    value1, value2
                }).First();
                bool correct = result / guess > 0;
                Console.WriteLine("result : " + result);
                Console.WriteLine("guess : " + guess);
                Console.WriteLine("correct : " + correct);
                Console.WriteLine("--");

                if (correct)
                {
                    n++;
                }
            }
            Console.WriteLine(n / 200);
        }
Esempio n. 3
0
        private static void SinglePersptronProgram(int nInput)
        {
            SinglePerceptron nn2  = new SinglePerceptron(nInput);
            List <double>    data = new List <double>()
            {
                0.2, 0.6, 0.5
            };

            for (int i = 0; i < 1000; i++)
            {
                Random random = new Random(Guid.NewGuid().GetHashCode());
                int    value1 = random.Next() % 2;
                random = new Random(Guid.NewGuid().GetHashCode());
                int value2 = random.Next() % 2;

                int xor = AndBool(value1, value2);
                if (xor == 0)
                {
                    xor = -1;
                }

                nn2.Train(new List <double>()
                {
                    value1, value2
                }, xor);
            }

            for (int i = 0; i < 200; i++)
            {
                Random random = new Random(Guid.NewGuid().GetHashCode());
                int    value1 = random.Next() % 2;
                random = new Random(Guid.NewGuid().GetHashCode());
                int value2 = random.Next() % 2;

                int xor = AndBool(value1, value2);

                double guess = nn2.Predict(new List <double>()
                {
                    value1, value2
                }).First();
                Console.WriteLine("xor : " + xor);
                Console.WriteLine("guess : " + guess);
                Console.WriteLine("correct : " + (xor / guess > 0));
                Console.WriteLine("--");
            }
        }