FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system

• Published in: Computational & applied mathematics Vol. 39; no. 4
• Main Authors: Sabir, Zulqurnain, Raja, Muhammad Asif Zahoor, Shoaib, Muhammad, Aguilar, J. F. Gómez
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2020; Springer Nature B.V
• Subjects: Applications of Mathematics; Applied physics; Comparative studies; Computation; Computational mathematics; Computational Mathematics and Numerical Analysis; Evolution; Genetic algorithms; Mathematical Applications in Computer Science; Mathematical Applications in the Physical Sciences; Mathematics; Mathematics and Statistics; Neural networks; Optimization; Quadratic programming; Robustness (mathematics); Solvers; Stability analysis; Statistical analysis; Sequential quadratic programming; 34A34; Multi-singular systems; Artificial neural networks; Meyer wavelet neural networks; 82B31; 34-XX; Multi-fractional Lane–Emden model; Genetic algorithms; 34A08

In the present study, a novel fractional Meyer neuro-evolution-based intelligent computing solver (FMNEICS) is presented for numerical treatment of doubly singular multi-fractional Lane–Emden system (DSMF-LES) using combined heuristics of Meyer wavelet neural networks (MWNN) optimized with global se...