Stochastic numerical investigations for nonlinear three-species food chain system
Z Sabir - International Journal of Biomathematics, 2022 - World Scientific
In this work, three-dimensional nonlinear food chain system is numerically treated using the
computational heuristic framework of artificial neural networks (ANNs) together with the …
computational heuristic framework of artificial neural networks (ANNs) together with the …
Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model
This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …
strength of artificial neural network (ANN) together with the competences of global and local …
[HTML][HTML] Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes
Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
[HTML][HTML] Heuristic computational design of Morlet wavelet for solving the higher order singular nonlinear differential equations
The aim of this study is to present the numerical solutions of the higher order singular
nonlinear differential equations using an advanced intelligent computational approach by …
nonlinear differential equations using an advanced intelligent computational approach by …
Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler …
The present investigations are related to design an integrated computing numerical
approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), ie …
approach through Levenberg–Marquardt backpropagation (LMB) neural networks (NNs), ie …
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
On the dynamical investigation and synchronization of variable-order fractional neural networks: The Hopfield-like neural network model
H Jahanshahi, E Zambrano-Serrano, S Bekiros… - The European Physical …, 2022 - Springer
Since the variable-order fractional systems show more complex characteristics and more
degrees of freedom due to time-varying fractional derivatives, we introduce a variable-order …
degrees of freedom due to time-varying fractional derivatives, we introduce a variable-order …
[HTML][HTML] An advanced heuristic approach for a nonlinear mathematical based medical smoking model
The present study is related to solve the nonlinear dynamics of a smoke model using
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model
The present study introduces a novel design of Morlet wavelet neural network (MWNN)
models to solve a class of a nonlinear nervous stomach system represented with governing …
models to solve a class of a nonlinear nervous stomach system represented with governing …
Detection of common cold from speech signals using deep neural network
This paper presents a deep learning-based analysis and classification of cold speech
observed when a person is diagnosed with the common cold. The common cold is a viral …
observed when a person is diagnosed with the common cold. The common cold is a viral …