Delayed lagrangian neural networks for solving convex programming problems

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 2266-2273

  Li, Fen ^a,b  

^a Yunnan Vocational College of Mechanical and Electrical Technology   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Delay; Global convergence; Lagrangian programming neural networks; Lyapunov functional; Optimization problem

Indexed keywords

CONVEX PROGRAMMING PROBLEMS; EQUALITY CONSTRAINTS; GLOBAL CONVERGENCE; GLOBALLY CONVERGENT; LAGRANGIAN; LYAPUNOV FUNCTIONALS; SIMULATION EXAMPLE;

COMPUTER SIMULATION; FUNCTIONAL PROGRAMMING; LAGRANGE MULTIPLIERS; LYAPUNOV METHODS; OPTIMIZATION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SYSTEM; IMAGE ANALYSIS; LAGRANGIAN NEURAL NETWORK; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBLEM SOLVING; RESPONSE TIME;

EID: 77952542217     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.01.009     Document Type: Article

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