A neural network is proposed for solving linear and quadratic programming problems. The main feature is that the required conditions of symmetry and asymmetry in the interconnections are automatically met in practical implementations, so that stability is guaranteed
In this paper, a feedback neural network model is proposed for solving a class of convex quadratic b...
A single layer neural network for the solution of linear equations is presented. The proposed circui...
This paper presents a recurrent neural circuit for solving linear programming problems. The objectiv...
A neural network is proposed for solving linear and quadratic programming problems. The main feature...
Abstract—This paper presents a novel recurrent neural network for solving a class of convex quadrati...
Abstract—In this paper, a new recurrent neural network is proposed for solving convex quadratic prog...
AbstractThis paper presents a neural network approach for solving convex programming problems with e...
The subject of this thesis is an application of artificial neural networks to solving linear and non...
AbstractIn this paper linear and quadratic programming problems are solved using a novel recurrent a...
This paper is concerned with neural networks which have the ability to solve linear and nonlinear co...
Constrained optimization problems entail the minimization or maximization of a linear or quadratic o...
We propose and analyze two classes of neural network models for solving linear programming (LP) prob...
AbstractA neural network is proposed for solving a convex quadratic bilevel programming problem. Bas...
This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, qu...
Abstract—Most existing neural networks for solving linear variational inequalities (LVIs) with the m...
In this paper, a feedback neural network model is proposed for solving a class of convex quadratic b...
A single layer neural network for the solution of linear equations is presented. The proposed circui...
This paper presents a recurrent neural circuit for solving linear programming problems. The objectiv...
A neural network is proposed for solving linear and quadratic programming problems. The main feature...
Abstract—This paper presents a novel recurrent neural network for solving a class of convex quadrati...
Abstract—In this paper, a new recurrent neural network is proposed for solving convex quadratic prog...
AbstractThis paper presents a neural network approach for solving convex programming problems with e...
The subject of this thesis is an application of artificial neural networks to solving linear and non...
AbstractIn this paper linear and quadratic programming problems are solved using a novel recurrent a...
This paper is concerned with neural networks which have the ability to solve linear and nonlinear co...
Constrained optimization problems entail the minimization or maximization of a linear or quadratic o...
We propose and analyze two classes of neural network models for solving linear programming (LP) prob...
AbstractA neural network is proposed for solving a convex quadratic bilevel programming problem. Bas...
This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, qu...
Abstract—Most existing neural networks for solving linear variational inequalities (LVIs) with the m...
In this paper, a feedback neural network model is proposed for solving a class of convex quadratic b...
A single layer neural network for the solution of linear equations is presented. The proposed circui...
This paper presents a recurrent neural circuit for solving linear programming problems. The objectiv...
DOI
Add to ORKG