Accord.Tests.Neuro.LevenbergMarquardtLearningTest.ConstructorTest C# (CSharp) Method

        public void ConstructorTest()
        {
            // Four training samples of the xor function

            // two inputs (x and y)
            double[][] input = 
            {
                new double[] { -1, -1 },
                new double[] { -1,  1 },
                new double[] {  1, -1 },
                new double[] {  1,  1 }
            };

            // one output (z = x ^ y)
            double[][] output = 
            {
                new double[] { -1 },
                new double[] {  1 },
                new double[] {  1 },
                new double[] { -1 }
            };


            // create multi-layer neural network
            ActivationNetwork network = new ActivationNetwork(
                   new BipolarSigmoidFunction(2), // use a bipolar sigmoid activation function
                   2, // two inputs
                   3, // three hidden neurons
                   1  // one output neuron
                   );

            // create teacher
            LevenbergMarquardtLearning teacher = new LevenbergMarquardtLearning(
                network, // the neural network
                false,   // whether or not to use Bayesian regularization
                JacobianMethod.ByBackpropagation // Jacobian calculation method
                );


            // set learning rate and momentum
            teacher.LearningRate = 0.1f;

            // start the supervisioned learning
            for (int i = 0; i < 1000; i++)
            {
                double error = teacher.RunEpoch(input, output);
            }

            // If we reached here, the constructor test has passed.
        }