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elmNN : Implementation of ELM (Extreme Learning Machine ) algorithm for SLFN ( Single Hidden Layer Feedforward Neural Networks )

Package: elmNN
Type: Package
Title: Implementation of ELM (Extreme Learning Machine ) algorithm for
SLFN ( Single Hidden Layer Feedforward Neural Networks )
Version: 1.0
Date: 2012-07-17
Author: Alberto Gosso
Maintainer: Alberto Gosso <gosso.alberto@gmail.com>
Description: 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.
Depends: MASS
License: GPL (>= 2)
Keyword: models,regression,nonlinear
Packaged: 2012-07-18 10:02:52 UTC; gush
Repository: CRAN
Date/Publication: 2012-07-18 11:11:12

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