A deterministic annealing neural network for convex programming

From MaRDI portal
Publication:1345262

DOI10.1016/0893-6080(94)90041-8zbMath0818.90090OpenAlexW1991832796MaRDI QIDQ1345262

Jun Wang

Publication date: 28 February 1995

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0893-6080(94)90041-8




Related Items (32)

A NOVEL RECURRENT NEURAL NETWORK FOR SOLVING MLCPs AND ITS APPLICATION TO LINEAR AND QUADRATIC PROGRAMMING PROBLEMSA multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignmentMetaheuristics: A bibliographySolving convex programming problems with equality constaints by neural networksA nonnegative matrix factorization algorithm based on a discrete-time projection neural networkA neurodynamic approach to nonsmooth constrained pseudoconvex optimization problemA one-layer recurrent neural network for constrained nonconvex optimizationNeural network for constrained nonsmooth optimization using Tikhonov regularizationRobust multiple-fault detection and isolation: A gradient flow approachA recurrent neural network for adaptive beamforming and array correctionCardinality-constrained portfolio selection based on collaborative neurodynamic optimizationSparse signal reconstruction via collaborative neurodynamic optimizationA neurodynamic optimization approach to supervised feature selection via fractional programmingA recurrent neural network for nonlinear fractional programmingA one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimizationA one-layer recurrent neural network for solving pseudoconvex optimization with box set constraintsA recurrent neural network for solving a class of generalized convex optimization problemsA one-layer recurrent neural network for constrained nonsmooth invex optimizationA One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear ProgrammingA one-layer recurrent neural network for non-smooth convex optimization subject to linear inequality constraintsRecurrent neural networks for computing weighted Moore-Penrose inverseOn the global output convergence of a class of recurrent neural networks with time-varying inputsA neurodynamic approach to convex optimization problems with general constraintA new neural network for solving linear programming problemsAn efficient neural network for solving convex optimization problems with a nonlinear complementarity problem functionPrimal-dual solution for the linear programming problems using neural networksA collective neurodynamic optimization approach to bound-constrained nonconvex optimizationAugmented gradient flows for on-line robust pole assignment via state and output feedbackA neural network approach to solve geometric programs with joint probabilistic constraintsA gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systemsA dual neural network for convex quadratic programming subject to linear equality and inequality constraintsDifferential-algebraic approach to linear programming



Cites Work


This page was built for publication: A deterministic annealing neural network for convex programming