Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

• 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: English
• Published: MDPI 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://ir.unimas.my/id/eprint/35355/1/applsci-11-04725-v2.pdf; http://ir.unimas.my/id/eprint/35355/; https://www.mdpi.com/journal/applsci; https://doi.org/10.3390/app11114725

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...