Stochastic state estimation for neural networks with distributed delays and Markovian jump

Neural Networks

Volumn 25, Issue , 2012, Pages 14-20

  Chen, Yun ^a,b   Zheng, Wei Xing ^b  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Distributed delay; Markovian jump; Mean square exponential stability; Neural networks; State estimation

Indexed keywords

BOUNDING TECHNIQUES; CROSS-TERMS; DISCRETE AND DISTRIBUTED DELAYS; DISTRIBUTED DELAYS; ERROR-STATE; MARKOVIAN JUMPS; MATRIX; MEAN-SQUARE; MEASUREMENT EQUATIONS; MODEL TRANSFORMATION; NEURON ACTIVATION FUNCTION; NONLINEAR PERTURBATIONS; NUMERICAL EXAMPLE; STOCHASTIC STATE ESTIMATION; THEORETICAL RESULT;

ESTIMATION; HOPFIELD NEURAL NETWORKS; LINEAR TRANSFORMATIONS; MARKOV PROCESSES; NONLINEAR EQUATIONS; STATE ESTIMATION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; MARKOVIAN JUMP HOPFIELD NEURAL NETWORK; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; NONLINEAR SYSTEM; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; THEORETICAL MODEL; VALIDITY; VARIANCE;

MARKOV CHAINS; NEURAL NETWORKS (COMPUTER); STOCHASTIC PROCESSES; TIME FACTORS;

EID: 82355169632     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.08.002     Document Type: Article

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