Encog.Neural.Networks.BasicNetwork.AddLayer C# (CSharp) Method

        public void AddLayer(ILayer layer)
        {
            layer.Network = this;
            _structure.Layers.Add(layer);
        }

        private void Preprocessing_Completed(object sender, RunWorkerCompletedEventArgs e)
        {
            worker.ReportProgress(0, "Creating Network...");
            BasicNetwork Network = new BasicNetwork();
            Network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, DataContainer.NeuralNetwork.Data.InputSize));
            Network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 50));
            Network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, DataContainer.NeuralNetwork.Data.IdealSize));
            Network.Structure.FinalizeStructure();
            Network.Reset();
            DataContainer.NeuralNetwork.Network = Network;

            ResilientPropagation training = new ResilientPropagation(DataContainer.NeuralNetwork.Network, DataContainer.NeuralNetwork.Data);
            worker.ReportProgress(0, "Running Training: Epoch 0");
            for(int i = 0; i < 200; i++)
            {
                training.Iteration();
                worker.ReportProgress(0, "Running Training: Epoch " + (i+1).ToString() + "     Current Training Error : " + training.Error.ToString());
                if(worker.CancellationPending == true)
                {
                    completed = true;
                    return;
                }

            }
            completed = true;
        }