Encog.Neural.Rbf.Training.SVDTraining.Iteration C# (CSharp) Method

        public override sealed void Iteration()
        {
            int length = network.RBF.Length;

            var funcs = new IRadialBasisFunction[length];

            // Iteration over neurons and determine the necessaries
            for (int i = 0; i < length; i++)
            {
                IRadialBasisFunction basisFunc = network.RBF[i];

                funcs[i] = basisFunc;

                // This is the value that is changed using other training methods.
                // weights[i] =
                // network.Structure.Synapses[0].WeightMatrix.Data[i][j];
            }

            ObjectPair<double[][], double[][]> data = TrainingSetUtil
                .TrainingToArray(Training);

            double[][] matrix = EngineArray.AllocateDouble2D(length, network.OutputCount);

            FlatToMatrix(network.Flat.Weights, 0, matrix);
            Error = SVD.Svdfit(data.A, data.B, matrix, funcs);
            MatrixToFlat(matrix, network.Flat.Weights, 0);
        }

        public void TestPersistEG()
        {
            IMLDataSet trainingSet = XOR.CreateXORDataSet();
            RBFNetwork network = new RBFNetwork(2, 4, 1, RBFEnum.Gaussian);

            SVDTraining training = new SVDTraining(network, trainingSet);
            training.Iteration();
            XOR.VerifyXOR(network, 0.1);

            EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
            RBFNetwork network2 = (RBFNetwork)EncogDirectoryPersistence.LoadObject(EG_FILENAME);

            XOR.VerifyXOR(network2, 0.1);
        }