Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

Abstract Numerical treatment of the COVID-19 transposition and severity in Romania and Pakistan has been presented in this study, i.e., ANN-GA-SQP through artificial neural network genetic algorithms (ANN-GA) and sequential quadratic programming (SQP), a design of an integrated computational intelli...

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Bibliographic Details
Main Authors: Muhammad Shoaib, Marwan Abukhaled, Saba Kainat, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja, Ghania Zubair
Format: Article
Language:English
Published: Springer 2022-09-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Numerical treatment
COVID-19 transmission
Artificial neural networks
Genetic algorithms
Sequential quadratic programming
Online Access:https://doi.org/10.1007/s44196-022-00133-1

Internet

https://doi.org/10.1007/s44196-022-00133-1

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