Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

One of the most significant issues in urban design is energy-related CO2 emissions, which are rising quickly as cities expand. The GDP of the Central European countries (from 1990 to 2016) based on several energy sources, such as coal, oil, natural gas, and renewable energy, are used as inputs in th...

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Bibliographic Details
Main Authors: Hossein Moayedi, Azfarizal Mukhtar, Serhan Alshammari, Mohamed Boujelbene, Isam Elbadawi, Quynh T Thi, Mojtaba Mirzaei
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Artificial neural network
Central European countries
Carbon dioxide emissions
Metaheuristic algorithms
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2024.2327437
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