A simple and high performance neural network for quadratic programming problems

被引：28
|
作者：
Tao, Q [1 ]
Cao, JD
Sun, DM
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
[2] Southeast Univ, Dept Appl Math, Nanjing 210096, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2001年 / 124卷 / 02期
关键词：
neural networks; quadratic programming problems; global convergence; constraint gradient; feasible solution;
D O I：
10.1016/S0096-3003(00)00097-7
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, a neural network for quadratic programming problems is simplified. The simplicity is necessary for the high accuracy of solutions and low cost of implementation. The proposed network is proved to be an extension of Newton's optimal descent flow about constraints problems and is globally convergent. The network dynamic behaviors are also discussed and these can get the feasible solution more easily. The simulations demonstrate the reasonability of the theory and advantages of the network. (C) 2001 Elsevier Science Inc. All rights reserved.
引用
收藏
页码：251 / 260
页数：10
相关论文
共 50 条
  • [31] The simplification of neural network for quadratic programming problems and its applications in optimal control
    Tao, Q
    Sun, DM
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 3504 - 3508
  • [32] Optimizing quadratic programming problems with intuitionistic fuzzy parameters using a neural network
    Rani, Pooja
    Mahajan, Sumati
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 151
  • [33] A high-performance feedback neural network for solving convex nonlinear programming problems
    Leung, Y
    Chen, KZ
    Gao, XB
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (06): : 1469 - 1477
  • [34] Neural network training via quadratic programming
    Trafalis, TB
    Couellan, NP
    INTERFACES IN COMPUTER SCIENCE AND OPERATIONS RESEARCH: ADVANCES IN METAHEURISTICS, OPTIMIZATION, AND STOCHASTIC MODELING TECHNOLOGIES, 1997, : 123 - 139
  • [35] Novel artificial neural network with simulation aspects for solving linear and quadratic programming problems
    Ghasabi-Oskoei, H.
    Malek, A.
    Ahmadi, A.
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2007, 53 (09) : 1439 - 1454
  • [36] Utilizing a projection neural network to convex quadratic multi-objective programming problems
    Jahangiri, Mohammadreza
    Nazemi, Alireza
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023, 37 (07) : 1847 - 1865
  • [37] A new gradient-based neural network for solving linear and quadratic programming problems
    Leung, Y
    Chen, KZ
    Jiao, YC
    Gao, XB
    Leung, KS
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2001, 12 (05): : 1074 - 1083
  • [38] A feedback neural network for solving convex quadratic bi-level programming problems
    Li, Jueyou
    Li, Chaojie
    Wu, Zhiyou
    Huang, Junjian
    NEURAL COMPUTING & APPLICATIONS, 2014, 25 (3-4): : 603 - 611
  • [39] A feedback neural network for solving convex quadratic bi-level programming problems
    Jueyou Li
    Chaojie Li
    Zhiyou Wu
    Junjian Huang
    Neural Computing and Applications, 2014, 25 : 603 - 611
  • [40] Memristor Neural Networks for Linear and Quadratic Programming Problems
    Di Marco, Mauro
    Forti, Mauro
    Pancioni, Luca
    Innocenti, Giacomo
    Tesi, Alberto
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (03) : 1822 - 1835
12345