Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays

IEEE Transactions on Neural Networks and Learning Systems

Volumn 26, Issue 1, 2015, Pages 84-97

  Rakkiyappan, R ^a   Cao, Jinde ^b,c   Velmurugan, G ^a  

^a BHARATHIAR UNIVERSITY   (India)

^b SOUTHEAST UNIVERSITY   (China)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Banach contraction fixed point theorem; complex valued neural networks; fractional order; time delays.

Indexed keywords

COMPLEX NETWORKS; FIXED POINT ARITHMETIC; TIME DELAY;

ACTIVATION FUNCTIONS; BANACH CONTRACTIONS; COMPLEX-VALUED NEURAL NETWORKS; COMPLEX-VALUED RECURRENT NEURAL NETWORKS; CONNECTION WEIGHTS; CONSTANT TIME DELAYS; FRACTIONAL ORDER; UNIFORM STABILITY;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; HUMAN; STATISTICAL MODEL; THEORETICAL MODEL; TIME;

ALGORITHMS; HUMANS; LINEAR MODELS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); TIME FACTORS;

EID: 84919636037     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2311099     Document Type: Article

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