elmNN v1.0

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by Alberto Gosso

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

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.

Functions in elmNN

Name Description
print.elmNN Print a summary of the attributes of a trained neural network
elmtrain Training of a SLFN (Single Hidden-layer Feedforward Neural Network)
elmNN-package Implementation of ELM ( Extreme Learning Machine ) algorithm for neural networks
predict.elmNN Calculate the output of the ELM-trained neural network
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Type Package
Date 2012-07-17
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
depends MASS
Contributors Alberto Gosso

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