MATLAB Simulation and comparison of Zhang neural network and gradient neural network for online solution of linear time-varying matrix equation AXB-C = 0

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5227 LNAI, Issue , 2008, Pages 68-75

  Chen, Ke ^a   Yue, Shuai ^a   Zhang, Yunong ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

Efficacy; Gradient neural networks; Linear time varying matrix equation; MATLAB simulation; Recurrent neural networks

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTONOMOUS UNDERWATER VEHICLES; DIFFERENCE EQUATIONS; ELECTRIC NETWORK ANALYSIS; GRADIENT METHODS; IMAGE CLASSIFICATION; LINEAR EQUATIONS; MATLAB; MATRIX ALGEBRA; RECURRENT NEURAL NETWORKS; REINFORCEMENT LEARNING; TIME VARYING NETWORKS; TIME VARYING SYSTEMS; VEGETATION; ZINC COMPOUNDS;

EFFICACY; ERROR FUNCTIONS; GLOBAL EXPONENTIAL CONVERGENCE; GRADIENT NEURAL NETWORKS; INTELLIGENT COMPUTING; INTERNATIONAL CONFERENCES; LINEAR MATRIX EQUATIONS; LINEAR TIME-VARYING; LINEAR TIME-VARYING MATRIX EQUATION; MATLAB SIMULATION; MATLAB SIMULATIONS; MATRIX EQUATIONS; ONLINE TIME; SIMULATION RESULTS; THEORETICAL ANALYSIS; TIME-VARYING COEFFICIENTS;

NEURAL NETWORKS;

EID: 53049107455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85984-0_9     Document Type: Conference Paper

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