/// <summary>
/// Learn for the entire network.
/// </summary>
protected void Learn()
{
_network.PerformConnectionTask(c => {
LearnConnection(c);
c.SetTempTraining(0, 0);
}
);
}
/// <summary>
/// Construct the RPROP trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
/// <param name="theTraining">The training set.</param>
/// <param name="initialUpdate">The initial update.</param>
/// <param name="theMaxStep">The max step.</param>
public FreeformResilientPropagation(FreeformNetwork theNetwork,
IMLDataSet theTraining, double initialUpdate,
double theMaxStep)
: base(theNetwork, theTraining)
{
_maxStep = theMaxStep;
theNetwork.TempTrainingAllocate(1, 4);
theNetwork.PerformConnectionTask(c => c.SetTempTraining(TempUpdate,
initialUpdate));
}
/// <summary>
/// Construct the RPROP trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
/// <param name="theTraining">The training set.</param>
/// <param name="initialUpdate">The initial update.</param>
/// <param name="theMaxStep">The max step.</param>
public FreeformResilientPropagation(FreeformNetwork theNetwork,
IMLDataSet theTraining, double initialUpdate,
double theMaxStep)
: base(theNetwork, theTraining)
{
_maxStep = theMaxStep;
theNetwork.TempTrainingAllocate(1, 4);
theNetwork.PerformConnectionTask(c => c.SetTempTraining(TempUpdate,
initialUpdate));
}