Class ILNeuralNetwork.TILNeuralNetworkTrain
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+ | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(IILTrainingDataArray) : Integer|function Train(AData : IILTrainingDataArray) : Integer]] - Trains the connected neural network. | ||
+ | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(array;array) : Integer|function Train(ATraingFeatures : array; AResposes : array) : Integer]] | ||
+ | *[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(array;array;array) : Integer|function Train(ATraingFeatures : array; AResposes : array; AWeights : array) : 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. |
Revision as of 17:20, 18 October 2012
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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.
Methods
Public
- function Train(AData : IILTrainingDataArray) : Integer - Trains the connected neural network.
- function Train(ATraingFeatures : array; AResposes : array) : Integer
- function Train(ATraingFeatures : array; AResposes : array; AWeights : array) : 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.