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 …

A neural network model is constructed to solve convex quadratic multi-objective
programming problem (CQMPP). The CQMPP is first converted into an equivalent single …

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 neural network architecture is constructed to solve Convex Multi-objective Programming
Problem (CMPP). By using the weighted sum method, a single-objective optimization …

In the proposed manuscript, the solution of the fuzzy nonlinear optimization problems
(FNLOPs) is gainedusing a projection recurrent neural network (RNN) scheme. Since there …

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 …

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 …

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 …

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 …