Class ILNeuralNetwork.TILNeuralNetworkTrain

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Revision as of 23:54, 25 June 2013

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Package: IntelligenceLabPkg

Unit: ILNeuralNetwork

Inherits: TLPComponent

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 5 Methods 5.1 Public 6 Pins 7 Events

Syntax

Delphi:

type TILNeuralNetworkTrain = class( TLPComponent )

C++ Builder:

class TILNeuralNetworkTrain : public TLPComponent

Visual C++ (MFC):

class CTILNeuralNetworkTrain : public CTLPComponent

C# (.NET):

public ref class TILNeuralNetworkTrain : Mitov.IntelligenceLab.Component

Summary

Basic abstract class for neural network training components.

Description

Defines basic abstract class for neural network training components.

Properties

Published

• NeuralNetwork - Specifies the Neural Network component to be trained.
• TerminationCriteria - Criteria for terminating the training.
• NormalizeTrainingWeights - Specifies if the weights should be normalized.
• ScaleInputs - Scales the inputs before the training.
• ScaleOutputs - Scales the outputs before the training.

Methods

Public

• function Train(AData : IILTrainingDataArray) : Integer - Trains the connected neural network.
• function Train(ATraingFeatures : ISLRealBuffer; AResposes : ISLRealBuffer) : Integer
• function Train(ATraingFeatures : ISLRealBuffer; AResposes : ISLRealBuffer; AWeights : Real) : Integer
• function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray) : Integer - Trains the connected neural network.
• function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray; AWeights : ISLRealBuffer) : Integer - Trains the connected neural network.

Pins

• InputPin - The training data input pin of the component.
• ProgressPin - The Training Progress Pin.

Events

• OnProgress - Training progress notification event.
• OnError - Occurs on training error.