public GWNeuralNetwork(List <NeuralNetworkInputNode <InputData> > inputNodes, int[] innerLayers)
{
Graph = new GWGraph <NeuralNetworkNodeData, NeuralNetworkEdgeData, GWNeuralNetwork <InputData> >();
Graph.GraphStyle = GraphStyle.Directed;
InputNodes = inputNodes.ToList();
// init layers
Layers = new List <GWNode <NeuralNetworkNodeData, NeuralNetworkEdgeData, GWNeuralNetwork <InputData> > > [innerLayers.Length + 2];
for (int layer = 0; layer < Layers.Length; layer++)
{
Layers[layer] = new List <GWNode <NeuralNetworkNodeData, NeuralNetworkEdgeData, GWNeuralNetwork <InputData> > >();
}
//inputLayer:
for (int i = 0; i < InputNodes.Count; i++)
{
var node = Graph.CreateNode();
node.Data = InputNodes[i];
Layers[0].Add(node);
}
//create inner layers
var random = new Random();
int defConnects = 4;
for (int layer = 1; layer <= innerLayers.Length; layer++)
{
Layers[layer] = new List <GWNode <NeuralNetworkNodeData, NeuralNetworkEdgeData, GWNeuralNetwork <InputData> > >();
for (int i = 0; i < innerLayers[layer - 1]; i++)
{
var node = Graph.CreateNode();
node.Data = new NeuralNetworkNodeData();
//connect with former layer
for (int k = 0; k < defConnects; k++)
{
var otherNode = Layers[layer - 1].RandomElement(random);
var edge = Graph.CreateEdge(otherNode, node);
edge.Data = new NeuralNetworkEdgeData();
edge.Data.Weight = random.NextDouble();
}
Layers[layer].Add(node);
}
}
//create endingPoint
var endnode = Graph.CreateNode();
endnode.Data = new NeuralNetworkNodeData();
for (int i = 0; i < Layers[Layers.Length - 2].Count; i++)
{
var edge = Graph.CreateEdge(Layers[Layers.Length - 2][i], endnode);
edge.Data = new NeuralNetworkEdgeData();
edge.Data.Weight = random.NextDouble();
}
Layers[Layers.Length - 1].Add(endnode);
}
public static GWGraph <SGLNodeData, SGLEdgeData, SGLGraphData> ParseFile_CRF_Class(string file)
{
var graph = new GWGraph <SGLNodeData, SGLEdgeData, SGLGraphData>();
graph.Data = new SGLGraphData();
using (var reader = new StreamReader(file))
{
//if (reader.ReadLine() != "reflabels:")
// throw new IOException("unbekanntes FileFormat - File sollte mit 'numlabels:' beginnen");
//int refLabels = int.Parse(reader.ReadLine());
//if (reader.ReadLine() != "observations:")
// throw new IOException("unbekanntes FileFormat - File sollte mit 'numlabels:' beginnen");
//int observations = int.Parse(reader.ReadLine());
if (reader.ReadLine() != "nodes:")
{
throw new IOException("unbekanntes FileFormat - File sollte 'nodes:' in Zeile 3 enthalten");
}
string line = string.Empty;
while ((line = reader.ReadLine()) != "edges:" && line.NotNullOrEmpty())
{
string[] words = Regex.Split(line, "\\s");
var node = graph.CreateNode();
var scores = new List <double>();
node.Data = new SGLNodeData();
node.Data.ReferenceLabel = int.Parse(words[1]);
node.Data.Observation = int.Parse(words[2]);
if (words.Length > 3)
{
node.Data.AssignedLabel = int.Parse(words[3]);
}
node.Data.Id = words[0];
}
while ((line = reader.ReadLine()).NotNullOrEmpty())
{
string[] words = Regex.Split(line, "\\s");
string name = words[0] + "_" + words[1];
string check = words[1] + "_" + words[0];
var edge = graph.CreateEdge(graph.Nodes.First((n) => n.Data.Id.Equals(words[0])), graph.Nodes.First((n) => n.Data.Id.Equals(words[1])));
edge.Data = new SGLEdgeData();
}
}
return(graph);
}
