A high performance neural network for solving nonlinear programming problems with hybrid constraints

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 288, Issue 2, 2001, Pages 88-94

  Tao, Qing ^a   Cao, Jinde ^b   Xue, Meisheng ^a   Qiao, Hong ^c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SOUTHEAST UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Energy function; Global asymptotic stability; Gradient method; Neural network; Nonlinear programming problem

Indexed keywords

ASYMPTOTIC STABILITY; GRADIENT METHODS; NEURAL NETWORKS; QUADRATIC PROGRAMMING;

CONSTRAINED PROBLEM; CONTINUOUS NEURAL NETWORKS; ENERGY FUNCTIONS; GLOBAL ASYMPTOTIC STABILITY; NONLINEAR PROGRAMMING PROBLEM; OPTIMIZATION PROBLEMS; PROJECTION OPERATOR; QUADRATIC PROGRAMMING PROBLEMS;

SET THEORY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DYNAMICS; MATHEMATICAL ANALYSIS; NONLINEAR SYSTEM; SIMULATION;

EID: 0035903532     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0375-9601(01)00542-4     Document Type: Article

References (18)