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VMDML (version 0.1.1)

Variational Mode Decomposition Based Machine Learning Models

Description

Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) ; (ii) Pankaj Das (2020) .

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Version

Install

install.packages('VMDML')

Monthly Downloads

159

Version

0.1.1

License

MIT + file LICENSE

Maintainer

Pankaj Das

Last Published

August 27th, 2023

Functions in VMDML (0.1.1)

VMDARIMA

Variational Mode Decomposition Based Autoregressive Moving Average Model
VMDTDNN

Variational Mode Decomposition Based Time Delay Neural Network Model
VMDSVR

Variational Mode Decomposition Based Support Vector Regression Model
VMDRF

Variational Mode Decomposition Based Random Forest Model
VMDELM

Variational Mode Decomposition Based Extreme Learning Machine Model