ForAI-package: Forecasting with Artificial Intelligence ~~ package title ~~

Description Details Author(s) References See Also

Description

The package "ForAI" combines machine learning methods as artificial neural networks, support vector regression with evolutionary algorithms as genetic algorithms (GA), particle swarm optimization (PSO), evolutionary strategies (ES), etc. ~~ A concise (1-5 lines) description of the package ~~

Details

Package: ForAI
Type: Package
Version: 0.0.4
Date: 2014-09-25
Depends: e1071, FNN
Suggests: MASS, qualV, Boruta, CaDENCE
License: GPL-2
URL: http://forai.r-forge.r-project.org/
Built: R 3.0.3; ; 2014-06-30 18:16:22 UTC; unix

Index:

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Elm.cross.valid         Training ELM with cross validation.
Elm.predict             ELM Predictions
Elm.search.hc           Search Number of Hidden Neurons Using Hill
                        Climbing
Elm.train               Fit Extreme Learning Machine (ELM)
ForAI-package           Forecasting with Artificial Intelligence
svres                   Support Vector Regression with Evolutionary
                        Strategy
train.svr               train.svr

~~ An overview of how to use the package, including the most important functions ~~

Author(s)

Aranildo Lima

Maintainer: Aranildo Lima <arodrig@eos.ubc.ca> ~~ The author and/or maintainer of the package ~~

References

~~ Literature or other references for background information ~~

See Also

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~


ForAI documentation built on May 2, 2019, 6:14 p.m.