In this study, a new computing model is developed using the strength of feed‐forward neural
networks with the Levenberg–Marquardt scheme‐based backpropagation technique (NN …

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 …

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

Bio-inspired computing approaches are effective to solve a variety of dynamical problems.
The strength of these stochastic solvers is exploited for the numerical treatment of a …

This article presents a methodology to solve a one-dimensional steady-state nonlinear
reactive transport model (RTM) that is meant for fluid and solute transport model of soft …

The aim of the present study is to solve the singular second-order functional differential
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …

The fractional neuro-evolution-based intelligent computing has substantial potential to solve
fractional order systems represented with Lane–Emden equation arising in astrophysics …

The present works focus on the effects of electric and magnetic fields on the flow of micro-
polar nano-fluid between two parallel plates with rotation under the impact of Hall current …

In this study, an analysis of the perturbation factors and fractional order derivatives is
performed for the novel singular model. The design of the perturbed fractional order singular …

In this paper, a neuro-heuristic technique by incorporating artificial neural network models
(NNMs) optimized with sequential quadratic programming (SQP) is proposed to solve the …