[HTML][HTML] A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems

Z Sabir, MAZ Raja, JLG Guirao, M Shoaib - Alexandria Engineering Journal, 2021 - Elsevier
In this study, a novel stochastic computational frameworks based on fractional Meyer
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …

Novel nonlinear hypothesis for the delta parallel robot modeling

G Aquino, JDJ Rubio, J Pacheco, GJ Gutierrez… - IEEE …, 2020 - ieeexplore.ieee.org
In previous investigations, the nonlinear hypothesis use the linear bounded maps. Nonlinear
hypothesis are described as the combination of the first order terms, and after of the …

A stochastic computing procedure to solve the dynamics of prevention in HIV system

M Umar, F Amin, Q Al-Mdallal, MR Ali - Biomedical Signal Processing and …, 2022 - Elsevier
The motive of this work is to find the numerical simulations of a dynamical HIV model along
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …

Integrating supplier selection with inventory management under supply disruptions

TE Saputro, G Figueira… - International Journal of …, 2021 - Taylor & Francis
In the current global market, managing supply is not a straightforward process and it
becomes even more complex as uncertainty and disruptions occur. In order to mitigate their …

Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network

G Hou, J Xiong, G Zhou, L Gong, C Huang, S Wang - Energy, 2021 - Elsevier
The coordinated control systems (CCS) in ultra-supercritical thermal power unit, like many
other industrial systems, is a complex multivariable system with severe nonlinearity, strong …

Optimum geometrical pattern and design of real-size diagrid structures using accelerated fuzzy-genetic algorithm with bilinear membership function

P Ashtari, R Karami, S Farahmand-Tabar - Applied soft computing, 2021 - Elsevier
Diagrids are the efficient systems of tube structures for tall buildings. One of the design
considerations for these structures is the geometrical pattern of the system. In this paper, a …

[HTML][HTML] Analysis of perturbation factors and fractional order derivatives for the novel singular model using the fractional Meyer wavelet neural networks

Z Sabir, MR Ali - Chaos, Solitons & Fractals: X, 2023 - Elsevier
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 …

A novel learning algorithm of the neuro-fuzzy based Hammerstein–Wiener model corrupted by process noise

F Li, K Yao, B Li, L Jia - Journal of the Franklin Institute, 2021 - Elsevier
Abstract The Hammerstein–Wiener model is a nonlinear system with three blocks where a
dynamic linear block is sandwiched between two static nonlinear blocks. For parameter …

Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model

I Jadoon, A Ahmed, A ur Rehman, M Shoaib… - Applied Soft …, 2020 - Elsevier
In this study, a novel design of integrated biological inspired computational heuristics is
presented for the dynamics of nonlinear unipolar electrohydrodynamic (UP-EHD) pump flow …

Genetic algorithm and accelerating fuzzification for optimum sizing and topology design of real-size tall building systems

S Farahmand-Tabar - Applied Genetic Algorithm and Its Variants: Case …, 2023 - Springer
To fulfill the increasing demand for housing in urban cities, various systems of tall buildings
have been introduced tackling the design challenges. Topology design, which can get along …