//Methods
//Methods
/// <summary>
/// See the base.
/// </summary>
public override bool Equals(object obj)
{
if (obj == null)
{
return(false);
}
PoolDimensions cmpSettings = obj as PoolDimensions;
if (!Dimensions.ContainsEqualValues(cmpSettings.Dimensions))
{
return(false);
}
return(true);
}
/// <summary>
/// The deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public PoolSettings(PoolSettings source)
{
InstanceName = source.InstanceName;
Dim = null;
if (source.Dim != null)
{
Dim = new PoolDimensions(source.Dim.X, source.Dim.Y, source.Dim.Z);
}
RouteToReadout = source.RouteToReadout;
InputConnectionDensity = source.InputConnectionDensity;
InputSynapseWeight = null;
if (source.InputSynapseWeight != null)
{
InputSynapseWeight = source.InputSynapseWeight.DeepClone();
}
InhibitoryNeuronsDensity = source.InhibitoryNeuronsDensity;
InhibitoryActivation = null;
if (source.InhibitoryActivation != null)
{
InhibitoryActivation = source.InhibitoryActivation.DeepClone();
}
InhibitoryBias = null;
if (source.InhibitoryBias != null)
{
InhibitoryBias = source.InhibitoryBias.DeepClone();
}
ExcitatoryActivation = null;
if (source.ExcitatoryActivation != null)
{
ExcitatoryActivation = source.ExcitatoryActivation.DeepClone();
}
ExcitatoryBias = null;
if (source.ExcitatoryBias != null)
{
ExcitatoryBias = source.ExcitatoryBias.DeepClone();
}
InterconnectionDensity = source.InterconnectionDensity;
InterconnectionAvgDistance = source.InterconnectionAvgDistance;
InterconnectionSynapseWeight = null;
if (source.InterconnectionSynapseWeight != null)
{
InterconnectionSynapseWeight = source.InterconnectionSynapseWeight.DeepClone();
}
RetainmentNeuronsFeature = source.RetainmentNeuronsFeature;
RetainmentNeuronsDensity = source.RetainmentNeuronsDensity;
RetainmentMinRate = source.RetainmentMinRate;
RetainmentMaxRate = source.RetainmentMaxRate;
return;
}
/// <summary>
/// Creates the instance and initialize it from given xml element.
/// This is the preferred way to instantiate pool settings.
/// </summary>
/// <param name="elem">
/// Xml data containing pool settings.
/// Content of xml element is always validated against the xml schema.
/// </param>
public PoolSettings(XElement elem)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.PoolSettings.xsd");
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement poolSettingsElem = validator.Validate(elem, "rootElem");
//Parsing
//Name
InstanceName = poolSettingsElem.Attribute("instanceName").Value;
//Dimensions
Dim = new PoolDimensions(int.Parse(poolSettingsElem.Attribute("dimX").Value, CultureInfo.InvariantCulture),
int.Parse(poolSettingsElem.Attribute("dimY").Value, CultureInfo.InvariantCulture),
int.Parse(poolSettingsElem.Attribute("dimZ").Value, CultureInfo.InvariantCulture)
);
RouteToReadout = bool.Parse(poolSettingsElem.Attribute("routeToReadout").Value);
//Input
XElement inputElem = poolSettingsElem.Descendants("input").First();
InputConnectionDensity = double.Parse(inputElem.Attribute("connectionDensity").Value, CultureInfo.InvariantCulture);
InputSynapseWeight = new RandomValueSettings(inputElem.Descendants("weight").First());
//Excitatory
XElement excitatoryElem = poolSettingsElem.Descendants("excitatory").First();
ExcitatoryActivation = new ActivationSettings(excitatoryElem.Descendants("activation").First());
ExcitatoryBias = new RandomValueSettings(excitatoryElem.Descendants("bias").First());
double excitatoryRelShare = double.Parse(excitatoryElem.Attribute("relShare").Value, CultureInfo.InvariantCulture);
//Inhibitory
XElement inhibitoryElem = poolSettingsElem.Descendants("inhibitory").First();
InhibitoryActivation = new ActivationSettings(inhibitoryElem.Descendants("activation").First());
InhibitoryBias = new RandomValueSettings(inhibitoryElem.Descendants("bias").First());
double inhibitoryRelShare = double.Parse(inhibitoryElem.Attribute("relShare").Value, CultureInfo.InvariantCulture);
InhibitoryNeuronsDensity = inhibitoryRelShare / (inhibitoryRelShare + excitatoryRelShare);
//Interconnection
XElement interconnectionElem = poolSettingsElem.Descendants("interconnection").First();
InterconnectionDensity = double.Parse(interconnectionElem.Attribute("density").Value, CultureInfo.InvariantCulture);
InterconnectionAvgDistance = interconnectionElem.Attribute("avgDistance").Value == "NA" ? 0d : double.Parse(interconnectionElem.Attribute("avgDistance").Value, CultureInfo.InvariantCulture);
InterconnectionAllowSelfConn = bool.Parse(interconnectionElem.Attribute("allowSelfConnection").Value);
InterconnectionSynapseWeight = new RandomValueSettings(interconnectionElem.Descendants("weight").First());
//Retainment neurons
XElement retainmentElem = poolSettingsElem.Descendants("retainmentNeurons").FirstOrDefault();
RetainmentNeuronsFeature = (retainmentElem != null);
if (RetainmentNeuronsFeature)
{
RetainmentNeuronsDensity = double.Parse(retainmentElem.Attribute("density").Value, CultureInfo.InvariantCulture);
RetainmentMinRate = double.Parse(retainmentElem.Attribute("retainmentMinRate").Value, CultureInfo.InvariantCulture);
RetainmentMaxRate = double.Parse(retainmentElem.Attribute("retainmentMaxRate").Value, CultureInfo.InvariantCulture);
RetainmentNeuronsFeature = (RetainmentNeuronsDensity > 0 &&
RetainmentMaxRate > 0
);
}
else
{
RetainmentNeuronsDensity = 0;
RetainmentMinRate = 0;
RetainmentMaxRate = 0;
}
return;
}