Soft Computing Applications in Air Quality Modeling: Past, Present, and Future

Soft Computing Applications in Air Quality Modeling: Past, Present, and Future

Air quality models simulate the atmospheric environment systems and provide increased domain knowledge and reliable forecasting. They provide early warnings to the population and reduce the number of measuring stations. Due to the complexity and non-linear behavior associated with air quality data,...

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Bibliographic Details
Main Authors: Muhammad Muhitur Rahman, Md Shafiullah, Syed Masiur Rahman, Abu Nasser Khondaker, Abduljamiu Amao, Md. Hasan Zahir
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
Adaptive neuro-fuzzy inference system
artificial neural networks
air quality model
deep learning
ensemble model
evolutionary techniques
Online Access:https://www.mdpi.com/2071-1050/12/10/4045

Internet

https://www.mdpi.com/2071-1050/12/10/4045

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