Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world

Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world

Precisely forecasting air temperature as a significant meteorological parameter has a critical role in environment quality management. Hence, this study employs a hybrid intelligent model for accurately monthly temperature forecasting for one to three times ahead in the hottest and coldest regions o...

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Bibliographic Details
Main Authors: Jincheng Zhou, Dan Wang, Shahab S. Band, Ehsan Mirzania, Thendiyath Roshni
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Air temperature
artificial neural network
forecasting
honey badger algorithm
hybrid model
warmest and coldest regions
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2023.2174189

Internet

https://www.tandfonline.com/doi/10.1080/19942060.2023.2174189

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