/// <summary>
/// Instanciate a new pattern matching building block.
/// </summary>
/// <param name="numberOfInputs">The count of input neurons.</param>
/// <param name="numberOfClasses">The count of output neurons.</param>
/// <param name="builder">A network structure builder (to replace the default).</param>
public Controler(int numberOfInputs, int numberOfClasses, INetworkStructureBuilder builder)
{
ConfigNode.AttachRootNodeToHost(this);
_patterns = new PatternSet(numberOfClasses);
_outputTraining = new double[numberOfClasses];
_inputPattern = new double[numberOfInputs];
_builder = builder;
//BuildNetwork(true);
}
/// <summary>
/// Builds the Network. Call this method straight after the constructor.
/// </summary>
/// <param name="adaptConfiguration"></param>
public void BuildNetwork(bool adaptConfiguration)
{
_network = new Network(_node);
if (_builder == null)
{
_builder = new DefaultStructureBuilder(_dimensions, 1);
}
_builder.Network = _network;
if (adaptConfiguration)
{
_builder.AdaptConfiguration();
}
_builder.ConnectNetwork();
_network.FirstLayer.BindActivity(_inputPattern);
_network.LastLayer.BindTraining(_outputTraining);
}
/// <summary>
/// Imports a Network. Call this method instead of <see cref="BuildNetwork"/> if you want to use your own network structure.
/// </summary>
/// <param name="network"></param>
/// <param name="adaptConfiguration"></param>
public void ImportNetwork(Network network, bool adaptConfiguration)
{
_network = network;
_node.AttatchToHost(_network);
if (_builder == null)
{
_builder = new DefaultStructureBuilder(_dimensions, 1);
}
_builder.Network = _network;
if (adaptConfiguration)
{
_builder.AdaptConfiguration();
}
_network.FirstLayer.BindActivity(_inputPattern);
_network.LastLayer.BindTraining(_outputTraining);
}
/// <summary>
/// Imports a Network. Call this method instead of <see cref="BuildNetwork"/> if you want to use your own network structure.
/// </summary>
/// <param name="network"></param>
/// <param name="adaptConfiguration"></param>
public void ImportNetwork(Network network, bool adaptConfiguration)
{
_network = network;
_node.AttatchToHost(_network);
if(_builder == null)
_builder = new DefaultStructureBuilder(_dimensions, 1);
_builder.Network = _network;
if(adaptConfiguration)
_builder.AdaptConfiguration();
_network.FirstLayer.BindActivity(_inputPattern);
_network.LastLayer.BindTraining(_outputTraining);
}
/// <summary>
/// Builds the Network. Call this method straight after the constructor.
/// </summary>
/// <param name="adaptConfiguration"></param>
public void BuildNetwork(bool adaptConfiguration)
{
_network = new Network(_node);
if(_builder == null)
_builder = new DefaultStructureBuilder(_dimensions, 1);
_builder.Network = _network;
if(adaptConfiguration)
_builder.AdaptConfiguration();
_builder.ConnectNetwork();
_network.FirstLayer.BindActivity(_inputPattern);
_network.LastLayer.BindTraining(_outputTraining);
}
/// <summary>
/// Instanciate a new pattern matching building block.
/// </summary>
/// <param name="numberOfInputs">The count of input neurons.</param>
/// <param name="numberOfClasses">The count of output neurons.</param>
/// <param name="builder">A network structure builder (to replace the default).</param>
public Controler(int numberOfInputs, int numberOfClasses, INetworkStructureBuilder builder)
{
ConfigNode.AttachRootNodeToHost(this);
_patterns = new PatternSet(numberOfClasses);
_outputTraining = new double[numberOfClasses];
_inputPattern = new double[numberOfInputs];
_builder = builder;
//BuildNetwork(true);
}
