Construct a resilient training object. Use the defaults for all training parameters. Usually this is the constructor to use as the resilient training algorithm is designed for the default parameters to be acceptable for nearly all problems.

Overload List

Construct a resilient training object. Use the defaults for all training parameters. Usually this is the constructor to use as the resilient training algorithm is designed for the default parameters to be acceptable for nearly all problems.

public ResilientPropagation(BasicNetwork,INeuralDataSet)

Construct a resilient training object, allow the training parameters to be specified. Usually the default parameters are acceptable for the resilient training algorithm. Therefore you should usually use the other constructor, that makes use of the default values.

public ResilientPropagation(BasicNetwork,INeuralDataSet,double,double,double)

See Also

ResilientPropagation Class | Encog.Neural.Networks.Training.Propagation.Resilient Namespace