TSANN: Time Series Artificial Neural Network

The best ANN structure for time series data analysis is a demanding need in the present era. This package will find the best-fitted ANN model based on forecasting accuracy. The optimum size of the hidden layers was also determined after determining the number of lags to be included. This package has been developed using the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Version:	0.1.0
Imports:	forecast, gtools, stats, utils
Published:	2021-12-14
DOI:	10.32614/CRAN.package.TSANN
Author:	Md Yeasin [aut, cre], Ranjit Kumar Paul [aut], Dipro Sinha [aut]
Maintainer:	Md Yeasin <yeasin.iasri at gmail.com>
License:	GPL-3
NeedsCompilation:	no
In views:	TimeSeries
CRAN checks:	TSANN results

Documentation:

Reference manual:

TSANN.pdf

Downloads:

Package source:	TSANN_0.1.0.tar.gz
Windows binaries:	r-devel: TSANN_0.1.0.zip, r-release: TSANN_0.1.0.zip, r-oldrel: TSANN_0.1.0.zip
macOS binaries:	r-release (arm64): TSANN_0.1.0.tgz, r-oldrel (arm64): TSANN_0.1.0.tgz, r-release (x86_64): TSANN_0.1.0.tgz, r-oldrel (x86_64): TSANN_0.1.0.tgz

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