Class ILNeuralNetwork.TILNeuralNetworkTrain
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*[[Property ILNeuralNetwork.TILNeuralNetworkTrain.TerminationCriteria|TerminationCriteria]] - Criteria for terminating the training. | *[[Property ILNeuralNetwork.TILNeuralNetworkTrain.TerminationCriteria|TerminationCriteria]] - Criteria for terminating the training. | ||
*[[Property ILNeuralNetwork.TILNeuralNetworkTrain.NormalizeTrainingWeights|NormalizeTrainingWeights]] - Specifies if the weights should be normalized. | *[[Property ILNeuralNetwork.TILNeuralNetworkTrain.NormalizeTrainingWeights|NormalizeTrainingWeights]] - Specifies if the weights should be normalized. | ||
| + | *[[Property ILNeuralNetwork.TILNeuralNetworkTrain.ScaleInputs|ScaleInputs]] - Scales the inputs before the training. | ||
| + | *[[Property ILNeuralNetwork.TILNeuralNetworkTrain.ScaleOutputs|ScaleOutputs]] - Scales the outputs before the training. | ||
== Methods == | == Methods == | ||
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=== Public === | === Public === | ||
*[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(IILTrainingDataArray) : Integer|function Train(AData : IILTrainingDataArray) : Integer]] - Trains the connected neural network. | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(IILTrainingDataArray) : Integer|function Train(AData : IILTrainingDataArray) : Integer]] - Trains the connected neural network. | ||
| − | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train( | + | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBuffer;ISLRealBuffer) : Integer|function Train(ATraingFeatures : ISLRealBuffer; AResposes : ISLRealBuffer) : Integer]] |
| − | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train( | + | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBuffer;ISLRealBuffer;Real) : Integer|function Train(ATraingFeatures : ISLRealBuffer; AResposes : ISLRealBuffer; AWeights : Real) : Integer]] |
*[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBufferArray;ISLRealBufferArray) : Integer|function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray) : Integer]] - Trains the connected neural network. | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBufferArray;ISLRealBufferArray) : Integer|function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray) : Integer]] - Trains the connected neural network. | ||
*[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBufferArray;ISLRealBufferArray;ISLRealBuffer) : Integer|function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray; AWeights : ISLRealBuffer) : Integer]] - Trains the connected neural network. | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBufferArray;ISLRealBufferArray;ISLRealBuffer) : Integer|function Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBufferArray; AWeights : ISLRealBuffer) : Integer]] - Trains the connected neural network. | ||
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== Events == | == Events == | ||
*[[Event ILNeuralNetwork.TILNeuralNetworkTrain.OnProgress|OnProgress]] - Training progress notification event. | *[[Event ILNeuralNetwork.TILNeuralNetworkTrain.OnProgress|OnProgress]] - Training progress notification event. | ||
| + | *[[Event ILNeuralNetwork.TILNeuralNetworkTrain.OnError|OnError]] - Occurs on training error. | ||
[[Category:Classes]] | [[Category:Classes]] | ||
Revision as of 20:30, 10 June 2013
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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 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.
