In this paper, we obtain the exact solution of the

absolute value equation (AVE). To the best of our knowledge,

there is not an attempt to obtain the exact solution to this

problem. However, there exist ...

This paper aims to investigate the fuzzy constrained

matrix game -MG- problems using the concepts of recurrent

neural networks -RNNs-. To the best of our knowledge, this

paper is the first in attempting ...

Abstract:

In this paper, a neurodynamic model is given to solve nonlinear pseudo-monotone projection equation. Under pseudo-monotonicity condition and Lipschitz continuous condition, the projection neurodynamic model ...

In this paper, a representation of a recurrent neural network to solve

quadratic programming problems with fuzzy parameters (FQP) is given. The motivation

of the paper is to design a new effective one-layer ...

In this paper, a representation of a recurrent neural network to solve fuzzy non-linear programming (FNLP) problems is given. The motivation of the paper is to design a new effective one-layer structure recurrent neural ...

In the presence research, we are going to obtain the solution of the fuzzy shortest path -FSP- problem. According to our search in the scientific reported papers, Our focus on the paper is to give a recurrent neural network ...

In the presence research, we are going to obtain the solution of the linear vector optimization problems. Our focus on the paper is to give a projection recurrent neural network model to solve the problem. Besides, the ...

In the present research, we are going to obtain the solution of the fuzzy shortest path -FSP-
problem. According to our search in the scientific reported papers, this is the first scientific
attempt for resolving of ...

In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming problems -FNLP-. Our focus on the paper is to give a recurrent neural network model to solve the FNLP. Besides, the global ...