A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

This paper proposes a new approach to predicting the distribution of harmful substances in the atmosphere based on the combined use of the parameter estimation technique and machine learning algorithms. The essence of the proposed approach is based on the assumption that the concentration values pre...

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Bibliographic Details
Main Authors: Muratkan Madiyarov, Nurlan Temirbekov, Nurlana Alimbekova, Yerzhan Malgazhdarov, Yerlan Yergaliyev
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Computation
Subjects:
machine learning
inverse problem
harmful substances in the atmosphere
parameter estimation
atmospheric turbulence
finite element method
Online Access:https://www.mdpi.com/2079-3197/11/12/249

Internet

https://www.mdpi.com/2079-3197/11/12/249

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