In this study, bio-inspired computational techniques have been exploited to get the
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …

In this study, a new computing paradigm is presented for evaluation of dynamics of
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …

The present study presents numerical solution of the fourth order, singular, nonlinear Emden–
Fowler equation integrated computational intelligence by exploiting the efficiency of …

In this paper, a novel application of biologically inspired computing paradigm is presented
for solving initial value problem (IVP) of electric circuits based on nonlinear RL model by …

In the present work, a novel neuro-swarming based heuristic solver is established for the
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …

In this paper, a bio-inspired computational intelligence technique is presented for solving
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …

Abstract Physic-Informed Neural Networks (PINN) has attracted extensive attention in recent
years. This method can use partial differential equations (PDE) or boundary value problems …

In the present study, stochastic numerical computing approach is developed by applying
artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary …

In this study, a computational intelligence technique based on three different designs of
artificial neural networks (ANNs) is presented to solve the nonlinear Troesch's boundary …

This paper presents an efficient numerical method for solving the initial and boundary value
problems of the Bratu-type. In the proposed method, the Taylor wavelets are introduced, for …