Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models

In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of activ...

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Bibliographic Details

Main Authors:	Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Adnan Shahid Khan, Manoj Gupta, Aldawoud Kamal, Danda B. Rawat
Format:	Article
Language:	en en
Published:	MDPI 2021
Subjects:	QA Mathematics T Technology (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/30009/1/Evolutionary%20integrated%20heuristic%20with%20gudermannian%20neural%20networks%20for%20second%20kind%20of%20lane%E2%80%93emden%20nonlinear%20singular%20models-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30009/2/Evolutionary%20integrated%20heuristic%20with%20gudermannian%20neural%20networks%20for%20second%20kind%20of%20lane%E2%80%93emden%20nonlinear%20singular%20models.pdf https://eprints.ums.edu.my/id/eprint/30009/ https://www.mdpi.com/2076-3417/11/11/4725 https://doi.org/10.3390/app11114725
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