Training and predict functions for SLFN ( Single Hidden-layer Feedforward Neural Networks ) using the ELM algorithm. ELM algorithm differs from the traditional gradient-based algorithms for very short training times ( it doesn't need any iterative tuning, this makes learning time very fast ) and there is no need to set any other parameters like learning rate, momentum, epochs, etc.

Install the latest version of this package by entering the following in R:

`install.packages("elmNN")`

Author | Alberto Gosso |

Date of publication | 2012-07-18 11:11:12 |

Maintainer | Alberto Gosso <gosso.alberto@gmail.com> |

License | GPL (>= 2) |

Version | 1.0 |

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