Artificial neural networks or neural networks (NN) are new computational models based on
the working of biological neurons of human body. A NN model consists of an interactive …

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 …

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

The design of integrated intelligent computing solver with Morlet wavelet neural networks
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …

In this article, strength of fractional neural networks (FrNNs) is exploited to find the
approximate solutions of nonlinear systems based on Riccati equations of arbitrary order …

In this paper, an inverse-free dynamical system is built to solve the absolute value equations
(AVEs), whose equilibrium points coincide with the solutions of the AVEs. Under proper …

The aim of the present work is to investigate the stochastic numerical solutions of nonlinear
Painlevé II systems arising from studies of two-dimensional Yang-Mills theory, growth …

In this paper, the analytic solution of the absolute value equations (AVE) is investigated. As
far as we know, there are some numerical methods to obtain the solution of the AVE …

In this study a novel application of neurocomputing technique is presented for nonlinear fluid
mechanics problem arising in the model of the flow over stretchable rotating disk in the …

In this work, an intelligent computing algorithm is developed for finding the approximate
solution of heart model based on nonlinear Van der Pol (VdP)-type second-order ordinary …