Suitability analysis of machine learning algorithms for crack growth prediction based on dynamic response data

I Omar, M Khan, A Starr - Sensors, 2023 - mdpi.com
Machine learning has the potential to enhance damage detection and prediction in materials
science. Machine learning also has the ability to produce highly reliable and accurate …

Solving general convex quadratic multi-objective optimization problems via a projection neurodynamic model

M Jahangiri, A Nazemi - Cognitive Neurodynamics, 2024 - Springer
A neural network model is constructed to solve convex quadratic multi-objective
programming problem (CQMPP). The CQMPP is first converted into an equivalent single …

A cooperative neural dynamic model for solving general convex nonlinear optimization problems with fuzzy parameters and an application in manufacturing systems

M Jahangiri, A Nazemi - … Journal of Adaptive Control and Signal …, 2024 - Wiley Online Library
In the presented study, the solution of the fuzzy nonlinear optimization problems (FNLOPs) is
calculated using a recurrent neural network (RNN) model. Since there is a few research for …

A projection neural-dynamic model for solving fuzzy convex nonlinear programming problems

M Jahangiri, A Nazemi - Iranian Journal of Fuzzy Systems, 2024 - ijfs.usb.ac.ir
In the proposed manuscript, the solution of the fuzzy nonlinear optimization problems
(FNLOPs) is gainedusing a projection recurrent neural network (RNN) scheme. Since there …

Solving Convex Multi-Objective Optimization Problems via a Capable Neural Network Scheme

M Jahangiri, A Nazemi - International Journal of Computational …, 2024 - World Scientific
A neural network architecture is constructed to solve Convex Multi-objective Programming
Problem (CMPP). By using the weighted sum method, a single-objective optimization …

A smoothing gradient-based neural network strategy for solving semidefinite programming problems

A Nikseresht, A Nazemi - Network: Computation in Neural Systems, 2022 - Taylor & Francis
Linear semidefinite programming problems have received a lot of attentions because of
large variety of applications. This paper deals with a smooth gradient neural network …

Mean-AVaR in credibilistic portfolio management via an artificial neural network scheme

F Talebi, A Nazemi, AA Ataabadi - Journal of Experimental & …, 2024 - Taylor & Francis
This paper focuses on the computation issue of portfolio optimisation with scenario-based
mean-Average Value at Risk (AVaR) in credibilistic environment. The portfolio optimisation …

The admissible portfolio selection problem with transaction costs and a neural network scheme

R Keyshams, A Nazemi - Filomat, 2023 - doiserbia.nb.rs
In this paper, we study the portfolio optimization model with transaction costs under the
assumption that there exist admissible errors on expected returns and risks of assets. We …

[引用][C] Solving Fuzzy Convex Programming Problems via a Projection Neural Network Framework

M Jahangiri, A Nazemi - New Mathematics and Natural …, 2023 - World Scientific
In this paper, the solution of the fuzzy nonlinear optimization problems (FNLOPs) is given
using a projection recurrent neural network (RNN) scheme. Since there is a few research for …