Accord.NET Framework

## ResilientBackpropagation Properties |

The ResilientBackpropagation type exposes the following members.

Properties

Name | Description | |
---|---|---|

DecreaseFactor |
Gets the decrease parameter, also
referred as eta minus. Default is 0.5.
| |

Function |
Gets or sets the function to be optimized.
(Inherited from BaseOptimizationMethod.) | |

Gradient |
Gets or sets a function returning the gradient
vector of the function to be optimized for a
given value of its free parameters.
(Inherited from BaseGradientOptimizationMethod.) | |

IncreaseFactor |
Gets the increase parameter, also
referred as eta plus. Default is 1.2.
| |

Iterations |
Gets or sets the maximum number of iterations
performed by the learning algorithm.
| |

NumberOfVariables |
Gets the number of variables (free parameters)
in the optimization problem.
(Inherited from BaseOptimizationMethod.) | |

Solution |
Gets the current solution found, the values of
the parameters which optimizes the function.
(Inherited from BaseOptimizationMethod.) | |

Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BaseOptimizationMethod.) | |

Tolerance |
Gets or sets the maximum change in the average log-likelihood
after an iteration of the algorithm used to detect convergence.
| |

UpdateLowerBound |
Gets or sets the minimum possible update step,
also referred as delta max. Default is 1e-6.
| |

UpdateUpperBound |
Gets or sets the maximum possible update step,
also referred as delta min. Default is 50.
| |

Value |
Gets the output of the function at the current Solution.
(Inherited from BaseOptimizationMethod.) |

See Also