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

        public bool IsLayerBiased(int l)
        {
            _structure.RequireFlat();
            int layerNumber = LayerCount - l - 1;
            return _structure.Flat.LayerCounts[layerNumber] != _structure.Flat.LayerFeedCounts[layerNumber];
        }

        /// <summary>
        /// Craete a freeform network from a basic network. 
        /// </summary>
        /// <param name="network">The basic network to use.</param>
        public FreeformNetwork(BasicNetwork network)
        {
            if (network.LayerCount < 2)
            {
                throw new FreeformNetworkError(
                    "The BasicNetwork must have at least two layers to be converted.");
            }

            // handle each layer
            IFreeformLayer previousLayer = null;

            for (int currentLayerIndex = 0;
                currentLayerIndex < network
                    .LayerCount;
                currentLayerIndex++)
            {
                // create the layer
                IFreeformLayer currentLayer = _layerFactory.Factor();

                // Is this the input layer?
                if (_inputLayer == null)
                {
                    _inputLayer = currentLayer;
                }

                // Add the neurons for this layer
                for (int i = 0; i < network.GetLayerNeuronCount(currentLayerIndex); i++)
                {
                    // obtain the summation object.
                    IInputSummation summation = null;

                    if (previousLayer != null)
                    {
                        summation = _summationFactory.Factor(network
                            .GetActivation(currentLayerIndex));
                    }

                    // add the new neuron
                    currentLayer.Add(_neuronFactory.FactorRegular(summation));
                }

                // Fully connect this layer to previous
                if (previousLayer != null)
                {
                    ConnectLayersFromBasic(network, currentLayerIndex - 1,
                        previousLayer, currentLayer);
                }

                // Add the bias neuron
                // The bias is added after connections so it has no inputs
                if (network.IsLayerBiased(currentLayerIndex))
                {
                    IFreeformNeuron biasNeuron = _neuronFactory
                        .FactorRegular(null);
                    biasNeuron.IsBias = true;
                    biasNeuron.Activation = network
                        .GetLayerBiasActivation(currentLayerIndex);
                    currentLayer.Add(biasNeuron);
                }

                // update previous layer
                previousLayer = currentLayer;
            }

            // finally, set the output layer.
            _outputLayer = previousLayer;
        }