Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically

I Ahmad, MAZ Raja, H Ramos, M Bilal… - Neural Computing and …, 2021 - Springer
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 …

Neuro-heuristics for nonlinear singular Thomas-Fermi systems

Z Sabir, MA Manzar, MAZ Raja, M Sheraz… - Applied Soft …, 2018 - Elsevier
A neuro-heuristic scheme is design to solve nonlinear singular second order system based
on Thomas-Fermi equation using the strength of universal approximation capabilities of …

Design of neural network with Levenberg-Marquardt and Bayesian regularization backpropagation for solving pantograph delay differential equations

I Khan, MAZ Raja, M Shoaib, P Kumam… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial
neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian …

A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head

MAZ Raja, M Umar, Z Sabir, JA Khan… - The European Physical …, 2018 - Springer
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 …

Intelligent computing for numerical treatment of nonlinear prey–predator models

M Umar, Z Sabir, MAZ Raja - Applied Soft Computing, 2019 - Elsevier
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 …

Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels

I Ahmad, H Ilyas, A Urooj, MS Aslam, M Shoaib… - Neural Computing and …, 2019 - Springer
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 …

Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming

A Mehmood, A Zameer, SH Ling, AU Rehman… - Neural Computing and …, 2020 - Springer
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 …

A novel design of Gaussian WaveNets for rotational hybrid nanofluidic flow over a stretching sheet involving thermal radiation

H Ilyas, I Ahmad, MAZ Raja, M Shoaib - International Communications in …, 2021 - Elsevier
The aim of this study is to analysis the mass and heat transfer in radiative three dimensional
flow of hybrid nanofluid over the stretchable sheet by exploiting the strength of integrated …

Prediction of blast induced ground vibration (BIGV) of quarry mining using hybrid genetic algorithm optimized artificial neural network

Y Azimi, SH Khoshrou, M Osanloo - Measurement, 2019 - Elsevier
Abstract Efficient prediction of Open Pit mining blast induced ground vibration, has an
important role in reduction of the environmental complaints. This paper proposed a new …

Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing

MAZ Raja, J Mehmood, Z Sabir, AK Nasab… - Neural Computing and …, 2019 - Springer
In this paper, a bio-inspired computational intelligence technique is presented for solving
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …