Class ILRadialBasisFunctionNetwork.TILRadialBasisFunctionNetwork

Revision as of 20:30, 10 June 2013 (view source) David Alm (Talk | contribs) (Automated Syncronization with Documentation) ← Older edit		Latest revision as of 00:32, 26 June 2013 (view source) David Alm (Talk | contribs) (Automated Syncronization with Documentation)
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	=== C# (.NET): ===		=== C# (.NET): ===
	<code>		<code>
−	'''public ref class''' TILRadialBasisFunctionNetwork : [[Class ILBasicClassifier.TILTrainableBasicClassifier|Mitov.IntelligenceLab.TrainableBasicClassifier]]	+	'''public ref class''' RadialBasisFunctionNetwork : [[Class ILBasicClassifier.TILTrainableBasicClassifier|Mitov.IntelligenceLab.TrainableBasicClassifier]]
	</code>		</code>
	== Summary ==		== Summary ==

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Latest revision as of 00:32, 26 June 2013

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Package: IntelligenceLabPkg

Unit: ILRadialBasisFunctionNetwork

Inherits: TILTrainableBasicClassifier

Contents 1 Syntax 1.1 Delphi: 1.2 C++ Builder: 1.3 Visual C++ (MFC): 1.4 C# (.NET): 2 Summary 3 Description 4 Properties 4.1 Published 4.2 Public 5 Methods 5.1 Public 6 Events 7 From TILTrainableBasicClassifier 8 Methods 8.1 Public 9 Pins 10 From TILBasicClassifier 11 Pins 12 From TILSimpleBasicClassifierTemplate 13 Properties 13.1 Published 14 Methods 14.1 Public 15 Pins 16 From TILSimpleBasicClassifier 17 Properties 17.1 Published 18 Methods 18.1 Public

Syntax

Delphi:

type TILRadialBasisFunctionNetwork = class( TILTrainableBasicClassifier, TILRadialBasisFunctionResult )

C++ Builder:

class TILRadialBasisFunctionNetwork : public TILTrainableBasicClassifier

Visual C++ (MFC):

class CTILRadialBasisFunctionNetwork : public CTILTrainableBasicClassifier

C# (.NET):

public ref class RadialBasisFunctionNetwork : Mitov.IntelligenceLab.TrainableBasicClassifier

Summary

Radial Basis Function Network classifier.

Description

Defines Radial Basis Function Network classifier.

Diagram:

Properties

Published

• MinInfluenceField - Specifies the minimal influence field for the RBF training.
• MaxInfluenceField - Specifies the maximal influence field for the RBF training.
• Background - Specifies the RBF background settings.

Public

• Neurons - Access to the RBF neurons.

Methods

Public

• procedure Clear() - Clears the training of the classifier.
• procedure Train(ATraingFeatures : ISLRealBuffer; ACategory : Real) - Trains the classifier.
• procedure Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBuffer; AUpdate : Boolean)

Events

• OnResult - On prediction result event.

From TILTrainableBasicClassifier

Methods

Public

• procedure Train(AData : IILTrainingDataArray; AUpdate : Boolean) - Trains the classifier.
• procedure Train(ATraingFeatures : ISLRealBuffer; AResposes : Real; AUpdate : Boolean)
• procedure Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBuffer; AUpdate : Boolean) - Trains the classifier.

Pins

• TrainingInputPin - The training input pin of the component.

From TILBasicClassifier

Pins

• ClassOutputPin - The class Output Pin of the classifier.

From TILSimpleBasicClassifierTemplate

Properties

Published

• SynchronizeType - Specifies the type of thread buffer synchronization.
• Threading - Specifies the desired threading settings for the filtering.

Methods

Public

• procedure Predict(AFeatures : ISLRealBuffer) - Gets a prediction from the classifier.

Pins

• InputPin - The features input pin of the component.

From TILSimpleBasicClassifier

Properties

Published

• SaveTraining - Specifies if the training data should be saved in the project.

Methods

Public

• procedure SaveToFile(AFileName : String) - Saves the training to a file.
• procedure LoadFromFile(AFileName : String) - Loads the training from a file.
• procedure SaveToStream(AStream : TStream) - Saves the training to a stream.
• procedure LoadFromStream(AStream : TStream) - Loads the training from a stream.