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>.


Reference manual

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install.packages("EMDANNhybrid")

0.2.0 by Pankaj Das, 3 years ago


Browse source code at https://github.com/cran/EMDANNhybrid


Authors: Pankaj Das [aut, cre] , Achal Lama [aut] , Girish Kumar Jha [aut]


Documentation:   PDF Manual  


GPL-3 license


Depends on EMD, forecast

Suggests knitr, rmarkdown, testthat


See at CRAN