A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems
A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems
In the present investigation, a novel neuro-swarming intelligence-based numerical computing solver is developed for solving second order nonlinear singular periodic (NSP) boundary value problems (BVPs), i.e., NSP-BVPs, using modeling strength of artificial neural networks (ANN) optimized with global search efficacy of particle swarm optimization (PSO) supported with the methodology of …