Prediction of Status Particulate Matter 2.5 Using State Markov Chain Stochastic Process and HYBRID VAR-NN-PSO

Prediction of Status Particulate Matter 2.5 Using State Markov Chain Stochastic Process and HYBRID VAR-NN-PSO

Air pollution is the entry or inclusion of living things, energy substances, and other components into the air. Moreover, Air pollution is the presence of one or several contaminants in the outside atmospheric air such as dust, foam, gas, fog, smoke or steam in large quantities with various properti...

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Bibliographic Details
Main Authors: Rezzy Eko Caraka, Rung Ching Chen, Toni Toharudin, Bens Pardamean, Hasbi Yasin, Shih Hung Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
PM₂.₅
Markov chain
stochastic
VAR
PSO
neural network
Online Access:https://ieeexplore.ieee.org/document/8887156/

Internet

https://ieeexplore.ieee.org/document/8887156/

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