/// <summary>
/// Builds the structure of the neural network ready for training and testing
/// </summary>
public static void BuildStructure(Base inputLayer, Base outputLayer, List<Structure.Node.Base> inputLayerNodes, List<Structure.Node.Base> ouputLayerNodes, Network testNetworkStructure)
{
for (Int32 i = 0; i < 1; i++) inputLayerNodes.Add(new Structure.Node.Base(inputLayer, new Elliott()));
inputLayer.SetNodes(inputLayerNodes);
EchoReservoir echoLayer = new EchoReservoir(130, 0.4f, 0, 5, new Elliott());
for (Int32 i = 0; i < 1; i++) ouputLayerNodes.Add(new Output(outputLayer, new Elliott()));
outputLayer.SetNodes(ouputLayerNodes);
inputLayer.ConnectFowardLayer(echoLayer);
echoLayer.ConnectFowardLayer(outputLayer);
testNetworkStructure.AddLayer(inputLayer);
testNetworkStructure.AddLayer(echoLayer);
testNetworkStructure.AddLayer(outputLayer);
foreach (Base layer in testNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
}
/// <summary>
/// Builds the structure of the neural network ready for training and testing
/// </summary>
public static void BuildStructure()
{
_InputLayer = new Base();
_InputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _InputLayerNodes.Add(new Structure.Node.Base(_InputLayer, new Elliott()));
_InputLayer.SetNodes(_InputLayerNodes);
EchoReservoir echoLayer = new EchoReservoir(130, 0.4f, 0, 5, new Elliott());
_OutputLayer = new Base();
_OuputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _OuputLayerNodes.Add(new Output(_OutputLayer, new Elliott()));
_OutputLayer.SetNodes(_OuputLayerNodes);
_InputLayer.ConnectFowardLayer(echoLayer);
echoLayer.ConnectFowardLayer(_OutputLayer);
_TestNetworkStructure.AddLayer(_InputLayer);
_TestNetworkStructure.AddLayer(echoLayer);
_TestNetworkStructure.AddLayer(_OutputLayer);
foreach (Base layer in _TestNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
}
/// <summary>
/// Builds the structure of the neural network ready for training and testing
/// </summary>
public static void BuildStructure()
{
_InputLayer = new Base();
_InputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _InputLayerNodes.Add(new Structure.Node.Base(_InputLayer, new Tanh()));
_InputLayer.SetNodes(_InputLayerNodes);
EchoReservoir echoLayer = new EchoReservoir(50, 0.4f, 0, 30, new Tanh());
_OutputLayer = new Base();
_OuputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _OuputLayerNodes.Add(new Output(_OutputLayer, new Tanh()));
_OutputLayer.SetNodes(_OuputLayerNodes);
_RecurrentLayer = new RecurrentContext(2, new Tanh());
_RecurrentLayer.AddSourceNodes(_OuputLayerNodes);
_InputLayer.ConnectFowardLayer(echoLayer);
_RecurrentLayer.ConnectFowardLayer(echoLayer);
echoLayer.ConnectFowardLayer(_OutputLayer);
_TestNetworkStructure.AddLayer(_InputLayer);
_TestNetworkStructure.AddLayer(_RecurrentLayer);
_TestNetworkStructure.AddLayer(echoLayer);
_TestNetworkStructure.AddLayer(_OutputLayer);
foreach (Base layer in _TestNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
((Structure.Node.RecurrentContext)_RecurrentLayer.GetNodes()[0]).OverrideRateOfUpdate(1);
}
