/// <summary>
/// Builds the structure of the neural network to undergo training and testing.
/// </summary>
public static void BuildStructure()
{
// Input layer construction
_InputLayer = new Base();
_InputLayerNodes = new List<Lib.Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _InputLayerNodes.Add(new Lib.Structure.Node.Base(_InputLayer, new Tanh()));
_InputLayer.SetNodes(_InputLayerNodes);
// Hidden layer construction
_HiddenLayer = new Base();
List<Lib.Structure.Node.Base> hiddenLayerNodes = new List<Lib.Structure.Node.Base>();
for (Int32 i = 0; i < 20; i++) hiddenLayerNodes.Add(new Lib.Structure.Node.Base(_HiddenLayer, new Tanh()));
Bias b = new Bias(_InputLayer, new Tanh());
b.SetValue(1);
hiddenLayerNodes.Add(b);
_HiddenLayer.SetNodes(hiddenLayerNodes);
// Conext layer construction
_ContextLayer = new RecurrentContext(6, new Tanh());
//Output layer construction
_OutputLayer = new Base();
_OuputLayerNodes = new List<Lib.Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) _OuputLayerNodes.Add(new Output(_OutputLayer, new Tanh()));
_OutputLayer.SetNodes(_OuputLayerNodes);
// Add the nodes of the output and hidden layers to the context layer (so it generates context codes)
_ContextLayer.AddSourceNodes(_OuputLayerNodes);
_ContextLayer.AddSourceNodes(hiddenLayerNodes);
// Connecting the layers of the neural network together
_InputLayer.ConnectFowardLayer(_HiddenLayer);
_HiddenLayer.ConnectFowardLayer(_OutputLayer);
_ContextLayer.ConnectFowardLayer(_HiddenLayer);
// Adding the layers to the neural network
_TestNetworkStructure.AddLayer(_InputLayer);
_TestNetworkStructure.AddLayer(_HiddenLayer);
_TestNetworkStructure.AddLayer(_ContextLayer);
_TestNetworkStructure.AddLayer(_OutputLayer);
// Generate all the node to node links
foreach (Base layer in _TestNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
}
/// <summary>
/// Builds the neural networks structure for testing and training
/// </summary>
public static void BuildStructure()
{
_InputLayer = new Base();
List<Structure.Node.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);
_HiddenLayer = new Base();
List<Structure.Node.Base> hiddenLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 5; i++) hiddenLayerNodes.Add(new Structure.Node.Base(_HiddenLayer, new Tanh()));
_HiddenLayer.SetNodes(hiddenLayerNodes);
_HiddenLayer2 = new Base();
List<Structure.Node.Base> hiddenLayerNodes2 = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 3; i++) hiddenLayerNodes2.Add(new Structure.Node.Base(_HiddenLayer, new Tanh()));
_HiddenLayer2.SetNodes(hiddenLayerNodes2);
_ContextLayer = new RecurrentContext(2, new Tanh());
_OutputLayer = new Base();
List<Structure.Node.Base> ouputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) ouputLayerNodes.Add(new Output(_OutputLayer, new Tanh()));
_OutputLayer.SetNodes(ouputLayerNodes);
_ContextLayer.AddSourceNodes(inputLayerNodes);
//ContextLayer.AddSourceNodes (HiddenLayerNodes);
_InputLayer.ConnectFowardLayer(_HiddenLayer);
_HiddenLayer.ConnectFowardLayer(_HiddenLayer2);
_HiddenLayer2.ConnectFowardLayer(_OutputLayer);
_ContextLayer.ConnectFowardLayer(_HiddenLayer);
_TestNetworkStructure.AddLayer(_InputLayer);
_TestNetworkStructure.AddLayer(_HiddenLayer);
_TestNetworkStructure.AddLayer(_HiddenLayer2);
_TestNetworkStructure.AddLayer(_ContextLayer);
_TestNetworkStructure.AddLayer(_OutputLayer);
//Iterate through all the layers and cause them to build the weights between nddes
foreach (Base layer in _TestNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
}
/// <summary>
/// Builds the structure for this nerual network test and training.
/// </summary>
public static void BuildStructure()
{
_InputLayer = new Base();
List<Structure.Node.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);
_HiddenLayer = new Base();
List<Structure.Node.Base> hiddenLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 3; i++) hiddenLayerNodes.Add(new Structure.Node.Base(_HiddenLayer, new Tanh()));
_HiddenLayer.SetNodes(hiddenLayerNodes);
_ContextLayer = new RecurrentContext(4, new Tanh());
_OutputLayer = new Base();
List<Structure.Node.Base> ouputLayerNodes = new List<Structure.Node.Base>();
for (Int32 i = 0; i < 1; i++) ouputLayerNodes.Add(new Output(_OutputLayer, new Tanh()));
_OutputLayer.SetNodes(ouputLayerNodes);
_ContextLayer.AddSourceNodes(inputLayerNodes);
//ContextLayer.AddSourceNodes (HiddenLayerNodes);
_InputLayer.ConnectFowardLayer(_HiddenLayer);
_HiddenLayer.ConnectFowardLayer(_OutputLayer);
_ContextLayer.ConnectFowardLayer(_HiddenLayer);
_TestNetworkStructure.AddLayer(_InputLayer);
_TestNetworkStructure.AddLayer(_HiddenLayer);
_TestNetworkStructure.AddLayer(_ContextLayer);
_TestNetworkStructure.AddLayer(_OutputLayer);
foreach (Base layer in _TestNetworkStructure.GetCurrentLayers()) layer.PopulateNodeConnections();
}
