Artificial neural networks to solve the singular model with Neumann–Robin, Dirichlet and Neumann boundary conditions

• Main Authors: Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Rodrigues, Joel J. P. C., Samy Refahy Mahmoud, Bhawani Shankar Chowdhry, Manoj Gupta
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute 2021
• Subjects: QA1-939 Mathematics
• Online Access: https://eprints.ums.edu.my/id/eprint/32589/1/Artificial%20neural%20networks%20to%20solve%20the%20singular%20model%20with%20neumann%E2%80%93robin%2C%20dirichlet%20and%20neumann%20boundary%20conditions%20%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32589/2/Artificial%20neural%20networks%20to%20solve%20the%20singular%20model%20with%20neumann%E2%80%93robin%2C%20dirichlet%20and%20neumann%20boundary%20conditions.pdf; https://eprints.ums.edu.my/id/eprint/32589/; https://www.mdpi.com/1424-8220/21/19/6498/htm; https://doi.org/10.3390/s21196498

The aim of this work is to solve the case study singular model involving the Neumann–Robin, Dirichlet, and Neumann boundary conditions using a novel computing framework that is based on the artificial neural network (ANN), global search genetic algorithm (GA), and local search sequential quadratic p...