elmNN: Implementation of ELM (Extreme Learning Machine ) algorithm for SLFN ( Single Hidden Layer Feedforward Neural Networks )
Version 1.0

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.

Browse man pages Browse package API and functions Browse package files

AuthorAlberto Gosso
Date of publication2012-07-18 11:11:12
MaintainerAlberto Gosso <gosso.alberto@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("elmNN")

Man pages

elmNN-package: Implementation of ELM ( Extreme Learning Machine ) algorithm...
elmtrain: Training of a SLFN (Single Hidden-layer Feedforward Neural...
predict.elmNN: Calculate the output of the ELM-trained neural network
print.elmNN: Print a summary of the attributes of a trained neural network

Functions

elmNN Man page
elmNN-package Man page
elmtrain Man page Source code
elmtrain.default Man page Source code
elmtrain.formula Man page Source code
hardlim Source code
hardlims Source code
poslin Source code
predict.elmNN Man page Source code
print.elmNN Man page Source code
randomMatrix Source code
satlins Source code
tribas Source code

Files

MD5
R
R/hardlim.R
R/poslin.R
R/satlins.R
R/randomMatrix.R
R/tribas.R
R/print.elmNN.R
R/elmtrain.default.R
R/elmtrain.formula.R
R/hardlims.R
R/elmtrain.R
R/predict.elmNN.R
NAMESPACE
DESCRIPTION
man
man/elmNN-package.Rd
man/print.elmNN.Rd
man/predict.elmNN.Rd
man/elmtrain.Rd
elmNN documentation built on May 19, 2017, 1:08 p.m.