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elmNN (version 1.0)

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

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.

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Version

Install

install.packages('elmNN')

Monthly Downloads

19

Version

1.0

License

GPL (>= 2)

Maintainer

Last Published

July 18th, 2012

Functions in elmNN (1.0)

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