Stability analysis of recurrent neural networks with piecewise constant argument of generalized type

Neural Networks

Volumn 23, Issue 7, 2010, Pages 805-811

  Akhmet, M U ^a   Arugaslan D ^b   Yilmaz, E ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

Method of Lyapunov functions; Neural networks; Piecewise constant argument of generalized type

Indexed keywords

DIFFERENTIAL EQUATIONS; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; NEURAL NETWORKS;

EQUILIBRIUM POINT; GLOBAL EXPONENTIAL STABILITY; METHOD OF LYAPUNOV; PIECEWISE CONSTANT ARGUMENT; RECURRENT NEURAL NETWORK (RNNS); STABILITY ANALYSIS;

RECURRENT NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DYNAMICS; EQUILIBRIUM CONSTANT; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; METHOD OF LYAPUNOV FUNCTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION;

ALGORITHMS; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 77955056707     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2010.05.006     Document Type: Article

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