Class ILRadialBasisFunctionNetwork.TILRadialBasisFunctionNetwork

---

Revision as of 00:27, 22 November 2011

This is a Beta Read Only version of this page. Please review and send recommendations to mitov@mitov.com. We will enable the editing as soon as we are happy with the overall Wiki site.

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 TILSimpleBasicClassifier 13 Properties 13.1 Published 14 Methods 14.1 Public 15 Pins

Syntax

Delphi:

type TILRadialBasisFunctionNetwork = class( TILTrainableBasicClassifier )

C++ Builder:

class TILRadialBasisFunctionNetwork : public TILTrainableBasicClassifier

Visual C++ (MFC):

class CTILRadialBasisFunctionNetwork : public CTILTrainableBasicClassifier

C# (.NET):

public ref class TILRadialBasisFunctionNetwork : Mitov.IntelligenceLab.TrainableBasicClassifier

Summary

Radial Basis Function Network classifier.

Description

Defines Radial Basis Function Network classifier.

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

Events

• OnResult - On prediction result event.

From TILTrainableBasicClassifier

Methods

Public

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

Pins

• InputPin - The features input pin of the component.