/// <summary>
/// Load the neural logic object.
/// </summary>
/// <param name="xmlIn">The XML object.</param>
private void HandleLogic(ReadXML xmlIn)
{
String value = xmlIn.ReadTextToTag();
if (value.Equals("ART1Logic"))
{
this.currentNetwork.Logic = new ART1Logic();
}
else if (value.Equals("BAMLogic"))
{
this.currentNetwork.Logic = new BAMLogic();
}
else if (value.Equals("BoltzmannLogic"))
{
this.currentNetwork.Logic = new BoltzmannLogic();
}
else if (value.Equals("FeedforwardLogic"))
{
this.currentNetwork.Logic = new FeedforwardLogic();
}
else if (value.Equals("HopfieldLogic"))
{
this.currentNetwork.Logic = new HopfieldLogic();
}
else if (value.Equals("SimpleRecurrentLogic"))
{
this.currentNetwork.Logic = new SimpleRecurrentLogic();
}
else
{
INeuralLogic logic = (INeuralLogic)Assembly.GetExecutingAssembly().CreateInstance(value);
this.currentNetwork.Logic = logic;
}
}
/// <summary>
/// Save the neural logic object.
/// </summary>
/// <param name="xmlOut">The XML object.</param>
private void SaveLogic(WriteXML xmlOut)
{
xmlOut.BeginTag(BasicNetworkPersistor.TAG_LOGIC);
INeuralLogic logic = this.currentNetwork.Logic;
if (logic is FeedforwardLogic ||
logic is SimpleRecurrentLogic ||
logic is BoltzmannLogic ||
logic is ART1Logic || logic is BAMLogic ||
logic is HopfieldLogic)
{
xmlOut.AddText(logic.GetType().Name);
}
else
{
xmlOut.AddText(logic.GetType().Name);
}
xmlOut.EndTag();
}
/// <summary>
/// Construct a basic network with the specified logic.
/// </summary>
/// <param name="logic">The logic to use with this network.</param>
public BasicNetwork(INeuralLogic logic)
{
this.structure = new NeuralStructure(this);
this.logic = logic;
}
/// <summary>
/// Construct an empty neural network.
/// </summary>
public BasicNetwork()
{
this.structure = new NeuralStructure(this);
this.logic = new SimpleRecurrentLogic();
}
/// <summary>
/// Construct a basic network with the specified logic.
/// </summary>
/// <param name="logic">The logic to use with this network.</param>
public BasicNetwork(INeuralLogic logic)
{
this.structure = new NeuralStructure(this);
this.logic = logic;
}
/// <summary>
/// Construct an empty neural network.
/// </summary>
public BasicNetwork()
{
this.structure = new NeuralStructure(this);
this.logic = new SimpleRecurrentLogic();
}
