Application of neural network models for mathematical programming problems: a state of art review
K Lachhwani - Archives of Computational Methods in Engineering, 2020 - Springer
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 …
the working of biological neurons of human body. A NN model consists of an interactive …
Intelligent computing for numerical treatment of nonlinear prey–predator models
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 …
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …
Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing
In this paper, a bio-inspired computational intelligence technique is presented for solving
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …
[HTML][HTML] Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model
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 …
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …
Fractional neural network models for nonlinear Riccati systems
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 …
approximate solutions of nonlinear systems based on Riccati equations of arbitrary order …
An inverse-free dynamical system for solving the absolute value equations
C Chen, Y Yang, D Yu, D Han - Applied Numerical Mathematics, 2021 - Elsevier
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 …
(AVEs), whose equilibrium points coincide with the solutions of the AVEs. Under proper …
A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory
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 …
Painlevé II systems arising from studies of two-dimensional Yang-Mills theory, growth …
[HTML][HTML] A dynamic model to solve the absolute value equations
A Mansoori, M Erfanian - Journal of Computational and Applied …, 2018 - Elsevier
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 …
far as we know, there are some numerical methods to obtain the solution of the AVE …
Intelligent computing to analyze the dynamics of magnetohydrodynamic flow over stretchable rotating disk model
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 …
mechanics problem arising in the model of the flow over stretchable rotating disk in the …
Intelligent computing approach to solve the nonlinear Van der Pol system for heartbeat model
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 …
solution of heart model based on nonlinear Van der Pol (VdP)-type second-order ordinary …