Encog.Neural.Networks.Training.Competitive.CompetitiveTraining.CompetitiveTraining C# (CSharp) Method

        public CompetitiveTraining(BasicNetwork network,
                 double learningRate, INeuralDataSet training,
                 INeighborhoodFunction neighborhood)
        {
            this.neighborhood = neighborhood;
            Training = training;
            this.LearningRate = learningRate;
            this.network = network;
            this.inputLayer = network.GetLayer(BasicNetwork.TAG_INPUT);
            this.outputLayer = network.GetLayer(BasicNetwork.TAG_OUTPUT);
            this.synapses = network.Structure.GetPreviousSynapses(
                    this.outputLayer);
            this.inputNeuronCount = this.inputLayer.NeuronCount;
            this.outputNeuronCount = this.outputLayer.NeuronCount;
            this.ForceWinner = false;
            Error = 0;

            // setup the correction matrix
            foreach (ISynapse synapse in this.synapses)
            {
                Matrix matrix = new Matrix(synapse.WeightMatrix.Rows,
                       synapse.WeightMatrix.Cols);
                this.correctionMatrix[synapse] = matrix;
            }

            // create the BMU class
            this.bmuUtil = new BestMatchingUnit(this);
        }