A Novel Neuroevolutionary Paradigm for Solving Strongly Nonlinear Singular Boundary Value Problems in Physiology-Reference-Cited by-同舟云学术

A Novel Neuroevolutionary Paradigm for Solving Strongly Nonlinear Singular Boundary Value Problems in Physiology

Published:2022 Issue: Volume:10 Page:21979-22002
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guo Jiayi¹,Khan Adnan²,Sulaiman Muhammad²^ORCID,Kumam Poom³^ORCID

Affiliation:

1. School of Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan

3. Department of Mathematics, Faculty of Science, KMUTT Fixed Point Research Laboratory, KMUTT-Fixed Point Theory and Applications Research Group, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09715087.pdf?arnumber=9715087

Reference59 articles.

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2. Theoretical Analysis on Absorption of Carbon Dioxide (CO2) into Solutions of Phenyl Glycidyl Ether (PGE) Using Nonlinear Autoregressive Exogenous Neural Networks

3. Evaluation of feature selection methods based on artificial neural network weights

4. A logical calculus of the ideas immanent in nervous activity

5. Harris hawks optimization: Algorithm and applications

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