C# Class Accord.Math.Optimization.ResilientBackpropagation

Resilient Backpropagation method for unconstrained optimization.
Inheritance: BaseGradientOptimizationMethod, IGradientOptimizationMethod
Afficher le fichier Open project: accord-net/framework Class Usage Examples

Méthodes publiques

Méthode Description
Reset ( double rate ) : void

Resets the current update steps using the given learning rate.
ResilientBackpropagation ( NonlinearObjectiveFunction function ) : System

Creates a new instance of the L-BFGS optimization algorithm.
ResilientBackpropagation ( int numberOfVariables ) : System

Creates a new ResilientBackpropagation function optimizer.
ResilientBackpropagation ( int numberOfVariables, double>.Func function, double[]>.Func gradient ) : System

Creates a new instance of the L-BFGS optimization algorithm.

Méthodes protégées

Méthode Description
OnProgressChanged ( ProgressChangedEventArgs args ) : void

Raises the E:ProgressChanged event.
Optimize ( ) : bool

Implements the actual optimization algorithm. This method should try to minimize the objective function.

Private Methods

Méthode Description
init ( int numberOfVariables ) : void
runEpoch ( ) : double

Method Details

OnProgressChanged() protected méthode

Raises the E:ProgressChanged event.
protected OnProgressChanged ( ProgressChangedEventArgs args ) : void
args System.ComponentModel.ProgressChangedEventArgs The instance containing the event data.
Résultat void

Optimize() protected méthode

Implements the actual optimization algorithm. This method should try to minimize the objective function.
protected Optimize ( ) : bool
Résultat bool

Reset() public méthode

Resets the current update steps using the given learning rate.
public Reset ( double rate ) : void
rate double
Résultat void

ResilientBackpropagation() public méthode

Creates a new instance of the L-BFGS optimization algorithm.
public ResilientBackpropagation ( NonlinearObjectiveFunction function ) : System
function NonlinearObjectiveFunction The function to be optimized.
Résultat System

ResilientBackpropagation() public méthode

Creates a new ResilientBackpropagation function optimizer.
public ResilientBackpropagation ( int numberOfVariables ) : System
numberOfVariables int The number of parameters in the function to be optimized.
Résultat System

ResilientBackpropagation() public méthode

Creates a new instance of the L-BFGS optimization algorithm.
public ResilientBackpropagation ( int numberOfVariables, double>.Func function, double[]>.Func gradient ) : System
numberOfVariables int The number of free parameters in the function to be optimized.
function double>.Func The function to be optimized.
gradient double[]>.Func The gradient of the function.
Résultat System