A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
A survey on active noise control in the past decade–Part II: Nonlinear systems
Part I of this paper reviewed the development of the linear active noise control (ANC)
technique in the past decade. However, ANC systems might have to deal with some …
technique in the past decade. However, ANC systems might have to deal with some …
Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells
In the investigations presented here, an efficient computing approach is applied to solve
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
The aim of this study is to design a singular fractional order pantograph differential model by
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
Design of stochastic numerical solver for the solution of singular three-point second-order boundary value problems
In this paper, a novel meta-heuristic computing solver is presented for solving the singular
three-point second-order boundary value problems using artificial neural networks (ANNs) …
three-point second-order boundary value problems using artificial neural networks (ANNs) …
[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 …
Evolutionary computing for nonlinear singular boundary value problems using neural network, genetic algorithm and active-set algorithm
In this numerical study, a class of nonlinear singular boundary value problem is solved by
implementation of a novel meta-heuristic computing tool based on the artificial neural …
implementation of a novel meta-heuristic computing tool based on the artificial neural …
Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery–Hamel flow
In this paper, a neuro-heuristic technique by incorporating artificial neural network models
(NNMs) optimized with sequential quadratic programming (SQP) is proposed to solve the …
(NNMs) optimized with sequential quadratic programming (SQP) is proposed to solve the …
A novel design of Gaussian wavelet neural networks for nonlinear Falkner-Skan systems in fluid dynamics
In this study, a design of integrated computational intelligent paradigm has been presented
for numerical treatment of the one-dimensional boundary value problems represented with …
for numerical treatment of the one-dimensional boundary value problems represented with …
Design of neuro-swarming heuristic solver for multi-pantograph singular delay differential equation
This research work is to design a neural-swarming heuristic procedure for numerical
investigations of Singular Multi-Pantograph Delay Differential (SMP-DD) equation by …
investigations of Singular Multi-Pantograph Delay Differential (SMP-DD) equation by …