/// <summary> /// Creates an instance and initializes it from given xml element. /// </summary> /// <param name="elem"> /// Xml data containing IzhikevichIF activation settings. /// Content of xml element is always validated against the xml schema. /// </param> public AutoIzhikevichIFSettings(XElement elem) { //Validation ElemValidator validator = new ElemValidator(); Assembly assemblyRCNet = Assembly.GetExecutingAssembly(); validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Activation.AutoIzhikevichIFSettings.xsd"); validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd"); XElement activationSettingsElem = validator.Validate(elem, "rootElem"); //Parsing Role = NeuronCommon.ParseNeuronRole(activationSettingsElem.Attribute("role").Value); RefractoryPeriods = int.Parse(activationSettingsElem.Attribute("refractoryPeriods").Value, CultureInfo.InvariantCulture); SolverMethod = ODENumSolver.ParseComputationMethodType(activationSettingsElem.Attribute("solverMethod").Value); SolverCompSteps = int.Parse(activationSettingsElem.Attribute("solverCompSteps").Value, CultureInfo.InvariantCulture); return; }
/// <summary> /// Creates the instance and initialize it from given xml element. /// </summary> /// <param name="elem"> /// Xml data containing settings. /// Content of xml element is always validated against the appropriate xml schema. /// </param> /// <param name="activationType">Specifies sub-type of the neuron group</param> public NeuronGroupSettings(XElement elem, ActivationType activationType) { //Validation ElemValidator validator = new ElemValidator(); Assembly assemblyRCNet = Assembly.GetExecutingAssembly(); if (activationType == ActivationType.Analog) { validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.Preprocessing.PoolAnalogNeuronGroupSettings.xsd"); } else { validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.Preprocessing.PoolSpikingNeuronGroupSettings.xsd"); } validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd"); XElement settingsElem = validator.Validate(elem, "rootElem"); ActivationType = activationType; //Parsing //Name Name = settingsElem.Attribute("name").Value; //Role Role = NeuronCommon.ParseNeuronRole(settingsElem.Attribute("role").Value); //Relative share RelativeShare = double.Parse(settingsElem.Attribute("relShare").Value, CultureInfo.InvariantCulture); //Readout neurons density ReadoutNeuronsDensity = double.Parse(settingsElem.Attribute("readoutDensity").Value, CultureInfo.InvariantCulture); //Activation settings ActivationCfg = ActivationFactory.LoadSettings(settingsElem.Descendants().First()); //Bias XElement cfgElem = settingsElem.Descendants("bias").FirstOrDefault(); BiasCfg = cfgElem == null ? null : new RandomValueSettings(cfgElem); //Spiking sub-type if (activationType == ActivationType.Spiking) { SignalingRestriction = NeuronCommon.NeuronSignalingRestrictionType.SpikingOnly; AnalogFiringThreshold = 0; RetainmentNeuronsDensity = 0; RetainmentStrengthCfg = null; } else { //Analog sub-type //Output signaling restriction SignalingRestriction = NeuronCommon.ParseNeuronSignalingRestriction(settingsElem.Attribute("signalingRestriction").Value); //Analog firing threshold cfgElem = settingsElem.Descendants("firingThreshold").FirstOrDefault(); AnalogFiringThreshold = cfgElem == null ? DefaultAnalogFiringThreshold : double.Parse(cfgElem.Attribute("value").Value, CultureInfo.InvariantCulture); //Retainment cfgElem = settingsElem.Descendants("retainment").FirstOrDefault(); RetainmentNeuronsDensity = 0; RetainmentStrengthCfg = null; if (cfgElem != null) { RetainmentNeuronsDensity = double.Parse(cfgElem.Attribute("density").Value, CultureInfo.InvariantCulture); RetainmentStrengthCfg = new RandomValueSettings(cfgElem.Descendants("strength").First()); if (RetainmentNeuronsDensity == 0 || (RetainmentStrengthCfg.Min == 0 && RetainmentStrengthCfg.Max == 0)) { RetainmentNeuronsDensity = 0; RetainmentStrengthCfg = null; } } } //Predictors XElement predictorsElem = settingsElem.Descendants("predictors").FirstOrDefault(); if (predictorsElem != null) { PredictorsCfg = new HiddenNeuronPredictorsSettings(predictorsElem); } return; }