Class ILNeuralNetwork.TILNeuralNetworkRPropTrain
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Package: IntelligenceLabPkg
Unit: ILNeuralNetwork
Inherits: TILNeuralNetworkTrain
Contents |
Syntax
Delphi:
type TILNeuralNetworkRPropTrain = class( TILNeuralNetworkTrain )
C++ Builder:
class TILNeuralNetworkRPropTrain : public TILNeuralNetworkTrain
Visual C++ (MFC):
class CTILNeuralNetworkRPropTrain : public CTILNeuralNetworkTrain
C# (.NET):
public ref class TILNeuralNetworkRPropTrain : Mitov.IntelligenceLab.NeuralNetworkTrain
Summary
Trains neural networks using RProp algorithm.
Description
This component is designed to train neural networks using RProp algorithm.
To use the component set the Neural Network to be trained in the NeuralNetwork property.
Diagram:
Properties
Published
- Weights - Specifies the training weights.
From TILNeuralNetworkTrain
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.