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

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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: 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
التنسيق: مقال
اللغة:English
English
منشور في: Multidisciplinary Digital Publishing Institute 2021
الموضوعات:
الوصول للمادة أونلاين: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
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