Class ILNeuralNetwork.TILNeuralNetworkTrain
From Mitov Wiki Doc
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: ILNeuralNetwork
Inherits: TLPComponent
Contents |
Syntax
Delphi:
type TILNeuralNetworkTrain = class( TLPComponent )
C++ Builder:
class TILNeuralNetworkTrain : public TLPComponent
Visual C++ (MFC):
class CTILNeuralNetworkTrain : public CTLPComponent
C# (.NET):
public ref class NeuralNetworkTrain : 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.
