Class ILNeuralNetwork.TILNeuralNetworkBackpropTrain
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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: TILNeuralNetworkTrain
Contents |
Syntax
Delphi:
type TILNeuralNetworkBackpropTrain = class( TILNeuralNetworkTrain )
C++ Builder:
class TILNeuralNetworkBackpropTrain : public TILNeuralNetworkTrain
Visual C++ (MFC):
class CTILNeuralNetworkBackpropTrain : public CTILNeuralNetworkTrain
C# (.NET):
public ref class TILNeuralNetworkBackpropTrain : Mitov.IntelligenceLab.NeuralNetworkTrain
Summary
Trains neural networks using Backprop algorithm.
Description
This component is designed to train neural networks using Backprop algorithm.
To use the component set the Neural Network to be trained in the NeuralNetwork property.
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.
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.