EMDANNhybrid: Empirical Mode Decomposition Based Artificial Neural Network Model

Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.

Getting started

Package details

AuthorPankaj Das [aut, cre] (<https://orcid.org/0000-0003-1672-2502>), Achal Lama [aut], Girish Kumar Jha [aut]
MaintainerPankaj Das <pankaj.das2@icar.gov.in>
LicenseGPL-3
Version0.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EMDANNhybrid")

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EMDANNhybrid documentation built on Sept. 14, 2023, 5:09 p.m.