Quasi-Lagrangian neural network for convex quadratic optimization

IEEE Transactions on Neural Networks

Volumn 19, Issue 10, 2008, Pages 1804-1809

  Costantini, Giovanni ^b   Perfetti, Renzo ^a   Todisco, Massimiliano ^b  

^a UNIVERSITY OF PERUGIA   (Italy)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Analog circuits; Lagrangian networks; Mathematical programming; Quadratic optimization; Recurrent neural networks

Indexed keywords

ANALOG CIRCUITS; IMAGE CLASSIFICATION; LAGRANGE MULTIPLIERS; MATHEMATICAL PROGRAMMING; NETWORK PROTOCOLS; NETWORKS (CIRCUITS); OPTIMIZATION; QUADRATIC PROGRAMMING; RECURRENT NEURAL NETWORKS; SENSOR NETWORKS; VEGETATION;

BOUND CONSTRAINTS; CIRCUIT IMPLEMENTATIONS; CONVEX QUADRATIC OPTIMIZATIONS; DYNAMIC EVOLUTIONS; INEQUALITY CONSTRAINTS; LAGRANGIAN; LAGRANGIAN APPROACHES; LAGRANGIAN NETWORKS; NECESSARY AND SUFFICIENT CONDITIONS; NEURAL-NETWORK; OPTIMALITY; OPTIMIZATION VARIABLES; QUADRATIC OPTIMIZATION; SIMULATION EXAMPLES; STATE SOLUTIONS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FEEDBACK SYSTEM; MATHEMATICAL COMPUTING; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED;

EID: 54349097207     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2001183     Document Type: Article

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