Class ILNeuralNetwork.TILNeuralNetworkRPropTrain

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=== C# (.NET): ===
 
=== C# (.NET): ===
 
<code>
 
<code>
'''public ref class''' TILNeuralNetworkRPropTrain : [[Class ILNeuralNetwork.TILNeuralNetworkTrain|Mitov.IntelligenceLab.NeuralNetworkTrain]]
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'''public ref class''' NeuralNetworkRPropTrain : [[Class ILNeuralNetwork.TILNeuralNetworkTrain|Mitov.IntelligenceLab.NeuralNetworkTrain]]
 
</code>
 
</code>
 
== Summary ==
 
== Summary ==
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== Description ==
 
== Description ==
This component is designed to train neural networks using RProp
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This component is designed to train neural networks using
algorithm.
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RProp algorithm.
  
 
To use the component set the Neural Network to be trained in
 
To use the component set the Neural Network to be trained in
 
the NeuralNetwork property.
 
the NeuralNetwork property.
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<b>Diagram:</b>
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[[Image:ILNeuralNetworkRPropTrain_Preview.png]]
  
 
== Properties ==
 
== Properties ==
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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.  
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*[[Property ILNeuralNetwork.TILNeuralNetworkTrain.ScaleInputs|ScaleInputs]] - Scales the inputs before the training.
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*[[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(array;array) : Integer|function Train(ATraingFeatures : array; AResposes : array) : Integer]]
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*[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(ISLRealBuffer;ISLRealBuffer) : Integer|function Train(ATraingFeatures : ISLRealBuffer; AResposes : ISLRealBuffer) : Integer]]
*[[Method function ILNeuralNetwork.TILNeuralNetworkTrain.Train(array;array;array) : Integer|function Train(ATraingFeatures : array; AResposes : array; AWeights : array) : Integer]]
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*[[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.  
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*[[Event ILNeuralNetwork.TILNeuralNetworkTrain.OnError|OnError]] - Occurs on training error.
  
 
[[Category:Components]][[Category:Classes]]
 
[[Category:Components]][[Category:Classes]]

Latest revision as of 00:32, 26 June 2013

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.

BIGILNeuralNetworkRPropTrain.gif ILNeuralNetworkRPropTrain.gif NETILNeuralNetworkRPropTrain.gif

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 NeuralNetworkRPropTrain : 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:

ILNeuralNetworkRPropTrain Preview.png

Properties

Published

From TILNeuralNetworkTrain

Properties

Published

Methods

Public

Pins

Events

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