Carbon Emission Prediction Through the Harmonization of Extreme Learning Machine and INFO Algorithm

Carbon Emission Prediction Through the Harmonization of Extreme Learning Machine and INFO Algorithm

This research introduces a novel optimization algorithm, weIghted meaN oF vectOrs (INFO), integrated with the Extreme Learning Machine (ELM) to enhance the predictive capabilities of the model for carbon dioxide (CO2) emissions. INFO optimizes ELM’s weight and bias. In six classic test pr...

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Bibliographic Details
Main Authors: Afi Kekeli Feda, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, Abdurrahman Shuaibu Hassan, Salah Kamel
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Artificial neural network
carbon emission prediction
convergence acceleration
extreme learning machine
metaheuristic algorithms
Online Access:https://ieeexplore.ieee.org/document/10504253/

Internet

https://ieeexplore.ieee.org/document/10504253/

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