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

GetLayerBiasActivation() public method

Get the bias activation for the specified layer.
public GetLayerBiasActivation ( int l ) : double
l int The layer.
return double
        public double GetLayerBiasActivation(int l)
        {
            if (!IsLayerBiased(l))
            {
                throw new NeuralNetworkError(
                    "Error, the specified layer does not have a bias: " + l);
            }

            _structure.RequireFlat();
            int layerNumber = LayerCount - l - 1;

            int layerOutputIndex = _structure.Flat.LayerIndex[layerNumber];
            int count = _structure.Flat.LayerCounts[layerNumber];
            return _structure.Flat.LayerOutput[layerOutputIndex
                                              + count - 1];
        }

Usage Example

Exemplo n.º 1
0
        private void DrawNeuralNetPair(Diagram diagram, out List<ShapeNode>[] nodes, BasicNetwork neuralNet)
        {
            if (diagram.Items.Count > 0)
                diagram.ClearAll();

            ProcessPair pp = cbProcessPair.SelectedItem as ProcessPair;
            TemplXML.FormData form = ConvertDataArrayToXml(templ, trainingData[pp.Pair].InputArray);

            double dx = 400;
            double rastNode = 30;
            double startYF = 50;
            double startX = dx + 50; // + (neuralNet.LayerCount - 1) * 300;
            double startY = 50;
            double diam = 30;
            double startYMax = startY;
            nodes = new List<ShapeNode>[neuralNet.LayerCount];
            string label = "null";
            graphPairLinkInput = new List<DiagramLink>(neuralNet.Flat.LayerCounts[neuralNet.LayerCount - 1]);
            for (int i = neuralNet.LayerCount - 1; i >= 0; i--)
            {
                List<ShapeNode> curN = new List<ShapeNode>();
                for (int j = 0; j < neuralNet.Flat.LayerCounts[i]; j++)
                {
                    ShapeNode tmp = DiagramHelper.CreateNode(diagram, startX, startY, diam, diam, j.ToString());
                    tmp.MouseLeftButtonDown += nodeSelected_MouseLeftButtonDown;
                    curN.Add(tmp);

                    if (i == neuralNet.LayerCount - 1 && j < neuralNet.InputCount)
                    {
                        ShapeNode q = DiagramHelper.CreateNode(Shapes.Rectangle, diagram, startX - dx - 200, startY - 10, 200, 50,  form.Values[j].Field.Title);
                        if (form.Values[j] is TemplXML.FormDataValueNumber)
                        {
                            var tmpF = form.Values[j] as TemplXML.FormDataValueNumber;
                            label = string.Format("{0}", tmpF.Value);
                        }
                        else
                        {
                            var tmpF = form.Values[j] as TemplXML.FormDataValueSelect;
                            label = tmpF.Value.Title;
                        }
                        var tmpLink = DiagramHelper.CreateLink(diagram, q, tmp, label);
                        tmpLink.MouseLeftButtonDown += linkSelect_MouseLeftButtonDown;
                        graphPairLinkInput.Add(tmpLink);
                    }

                    startY += diam + rastNode;
                }
                nodes[i] = curN;
                startX += dx;
                if (startYMax < startY) startYMax = startY;
                if (i != 0)
                    startY = startYMax / 2 - neuralNet.Flat.LayerCounts[i - 1] * (rastNode + diam) / 2;
            }

            string tmpWeigth;
            int countN;
            for (int i = neuralNet.LayerCount - 1; i > 0; i--)
            {
                countN = countN = neuralNet.Flat.LayerCounts[i - 1];
                if (i - 1 == neuralNet.LayerCount - 2 && neuralNet.GetLayerBiasActivation(i - 1) > 0)
                    countN -= 1;
                for (int x = 0; x < neuralNet.Flat.LayerCounts[i]; x++)
                {

                    for (int y = 0; y < countN; y++)
                    {
                        tmpWeigth = neuralNet.GetWeight(neuralNet.LayerCount - i - 1, x, y).ToString("F4");
                        var link = DiagramHelper.CreateLink(diagram, nodes[i][x], nodes[i - 1][y], tmpWeigth);
                        link.MouseLeftButtonDown += linkSelect_MouseLeftButtonDown;
                    }
                }
            }
        }
All Usage Examples Of Encog.Neural.Networks.BasicNetwork::GetLayerBiasActivation