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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Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English English |
Published: |
MDPI
2021
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Subjects: | |
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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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.pdfhttps://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