net.sourceforge.cilib.neuralnetwork.foundation
Class NeuralNetworkController

java.lang.Object
  net.sourceforge.cilib.algorithm.Algorithm
      net.sourceforge.cilib.algorithm.SingularAlgorithm
          net.sourceforge.cilib.neuralnetwork.foundation.NeuralNetworkController

All Implemented Interfaces:

Serializable, Runnable, Cloneable

Deprecated. This class is no longer viable - Please see EvaluationMediator

@Deprecated
public class NeuralNetworkController
extends SingularAlgorithm

Author:

stefanv

See Also:

Serialized Form

Field Summary

protected NNError[]	errorDt Deprecated.
protected PostMeasurementSuite	measures Deprecated.
protected NeuralNetworkProblem	problem Deprecated.

Fields inherited from class net.sourceforge.cilib.algorithm.Algorithm

optimisationProblem

Constructor Summary

NeuralNetworkController()
Deprecated.

NeuralNetworkController(NeuralNetworkController rhs)
Deprecated.

Method Summary

void	algorithmIteration() Deprecated. The actual operations that the current Algorithm performs within a single iteration.
OptimisationSolution	getBestSolution() Deprecated. Get the best current solution.
NeuralNetworkController	getClone() Deprecated. Create a cloned copy of the current object and return it.
NNError[]	getError() Deprecated.
OptimisationProblem	getOptimisationProblem() Deprecated. Get the specified OptimisationProblem.
List<OptimisationSolution>	getSolutions() Deprecated. Get the collection of best solutions.
void	performInitialisation() Deprecated. Perform the needed initialisation required before the execution of the algorithm starts.
void	performUninitialisation() Deprecated. Perform the needed unintialisation steps after the algorithm completes it's execution.
void	setMeasures(PostMeasurementSuite measures) Deprecated.
void	setOptimisationProblem(OptimisationProblem problem) Deprecated. Set the optimisation problem to be solved.
void	setProblem(Problem problem) Deprecated.

Methods inherited from class net.sourceforge.cilib.algorithm.Algorithm

addAlgorithmListener, addStoppingCondition, get, getAlgorithmList, getIterations, getPercentageComplete, getStoppingConditions, initialise, isFinished, performIteration, removeAlgorithmListener, removeStoppingCondition, reset, run, terminate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

problem

protected NeuralNetworkProblem problem

Deprecated.

errorDt

protected NNError[] errorDt

Deprecated.

measures

protected PostMeasurementSuite measures

Deprecated.

Constructor Detail

NeuralNetworkController

public NeuralNetworkController()

Deprecated.

NeuralNetworkController

public NeuralNetworkController(NeuralNetworkController rhs)

Deprecated.

Method Detail

getClone

public NeuralNetworkController getClone()

Deprecated.

Description copied from class: Algorithm

Create a cloned copy of the current object and return it. In general the created copy will be a deep copy of the provided instance. As a result this operation an be quite expensive if used incorrectly.

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class Algorithm

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

performInitialisation

public void performInitialisation()

Deprecated.

Description copied from class: Algorithm

Perform the needed initialisation required before the execution of the algorithm starts.

Overrides:

performInitialisation in class Algorithm

performUninitialisation

public void performUninitialisation()

Deprecated.

Description copied from class: Algorithm

Perform the needed unintialisation steps after the algorithm completes it's execution.

Overrides:

performUninitialisation in class Algorithm

algorithmIteration

public void algorithmIteration()

Deprecated.

Description copied from class: SingularAlgorithm

The actual operations that the current Algorithm performs within a single iteration.

Specified by:

algorithmIteration in class SingularAlgorithm

getError

public NNError[] getError()

Deprecated.

setProblem

public void setProblem(Problem problem)

Deprecated.

setOptimisationProblem

public void setOptimisationProblem(OptimisationProblem problem)

Deprecated.

Description copied from class: Algorithm

Set the optimisation problem to be solved. By default, the problem is null. That is, it is necessary to set the optimisation problem before calling Algorithm.initialise().

Overrides:

setOptimisationProblem in class Algorithm

Parameters:

problem - An implementation of the OptimisationProblemAdapter interface.

getOptimisationProblem

public OptimisationProblem getOptimisationProblem()

Deprecated.

Description copied from class: Algorithm

Get the specified OptimisationProblem.

Overrides:

getOptimisationProblem in class Algorithm

Returns:

The specified OptimisationProblem.

setMeasures

public void setMeasures(PostMeasurementSuite measures)

Deprecated.

getBestSolution

public OptimisationSolution getBestSolution()

Deprecated.

Description copied from class: Algorithm

Get the best current solution. This best solution is determined from the personal bests of the particles.

Specified by:

getBestSolution in class Algorithm

Returns:

The OptimisationSolution representing the best solution.

getSolutions

public List<OptimisationSolution> getSolutions()

Deprecated.

Description copied from class: Algorithm

Get the collection of best solutions. This result does not actually make sense in the normal PSO algorithm, but rather in a MultiObjective optimization.

Specified by:

getSolutions in class Algorithm

Returns:

The Collection<OptimisationSolution> containing the solutions.