/// <summary>
/// Clone the object.
/// </summary>
/// <returns>A clone of this object.</returns>
public override object Clone()
{
OneToOneSynapse result = new OneToOneSynapse(FromLayer,
ToLayer);
return(result);
}
/// <summary>
/// Clone the object.
/// </summary>
/// <returns>A clone of this object.</returns>
public override object Clone()
{
OneToOneSynapse result = new OneToOneSynapse(FromLayer,
ToLayer);
return result;
}
/// <summary>
/// Load the specified Encog object from an XML reader.
/// </summary>
/// <param name="xmlIn">The XML reader to use.</param>
/// <returns>The loaded object.</returns>
public IEncogPersistedObject Load(ReadXML xmlIn)
{
OneToOneSynapse synapse = new OneToOneSynapse();
return synapse;
}
/// <summary>
/// Add a "next" layer.
/// </summary>
/// <param name="next">The next layer to add.</param>
/// <param name="type">The synapse type to use for this layer.</param>
public void AddNext(ILayer next, SynapseType type)
{
ISynapse synapse = null;
switch (type)
{
case SynapseType.OneToOne:
synapse = new OneToOneSynapse(this, next);
break;
case SynapseType.Weighted:
synapse = new WeightedSynapse(this, next);
break;
case SynapseType.Weightless:
synapse = new WeightlessSynapse(this, next);
break;
case SynapseType.Direct:
synapse = new DirectSynapse(this, next);
break;
case SynapseType.NEAT:
synapse = new NEATSynapse(this, next);
break;
default:
throw new NeuralNetworkError("Unknown synapse type");
}
if (synapse == null)
{
String str = "Unknown synapse type.";
#if logging
if (BasicLayer.logger.IsErrorEnabled)
{
BasicLayer.logger.Error(str);
}
#endif
throw new NeuralNetworkError(str);
}
else
{
this.next.Add(synapse);
}
}