internal static void LinkChildren(NodeLinkMaster Master, NN_Layer TopLayer, NN_Layer BottomLayer)
{
foreach (NeuralNode n in TopLayer._Nodes)
{
if (n.Affinity != NeuralNodeAffinity.Static)
n.LinkChildren(Master, BottomLayer._Nodes);
}
}
// Render the network //
public NeuralNetwork Construct()
{
// Create the scrubber //
NeuralDataFactory scrubber = new NeuralDataFactory(this._SourceData, this._XValues, this._YValues, this._Where);
// Create the data layer //
this._DataLayer = new NN_Layer(this._DataBias, scrubber.InputKey, scrubber.Columns);
// Create the prediction layer //
this._PredictionLayer = new NN_Layer(this._PredictionReducer, this._PredictionActivation, scrubber.OutputKey);
// Link predictions to last hidden //
if (this._HiddenLayers.Count == 0)
{
NN_Layer.LinkChildren(this._Links, this._PredictionLayer, this._DataLayer);
}
else
{
// Data -> First.Hidden
NN_Layer.LinkChildren(this._Links, this._HiddenLayers.First(), this._DataLayer);
// Last.Hidden -> Predictions //
NN_Layer.LinkChildren(this._Links, this._PredictionLayer, this._HiddenLayers.Last());
// Hidden -> Hidden //
for (int i = 0; i < this._HiddenLayers.Count - 1; i++)
NN_Layer.LinkChildren(this._Links, this._HiddenLayers[i + 1], this._HiddenLayers[i]);
}
// Build a nodeset //
NodeSet nodes = new NodeSet(this._Links);
// Build a response set //
ResponseNodeSet responses = new ResponseNodeSet(this._Links);
// Neural rule //
NeuralRule rule = RuleFactory.Construct(this.DefaultRule, responses);
// Construct //
return new NeuralNetwork(this._name, this._Links, nodes, responses, rule, scrubber.ScrubbedData);
}
