Noise cancellation of memristive neural networks

Neural Networks

Volumn 60, Issue , 2014, Pages 74-83

  Wen, Shiping ^a,b   Zeng, Zhigang ^a,b   Huang, Tingwen ^c   Yu, Xinghuo ^d  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

^d RMIT UNIVERSITY   (Australia)

Author keywords

Memristor; Neural network; Stability

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; MEMRISTORS; SPURIOUS SIGNAL NOISE;

BI-POLAR MODE; FIRST ORDER; MEMRISTOR; NEUROMORPHIC; NOISE CANCELLATION; VOLTAGE-CONTROLLED;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL EFFECTIVENESS; ELECTRIC POTENTIAL; EXCITATORY POSTSYNAPTIC POTENTIAL; FEEDBACK SYSTEM; IMAGE ANALYSIS; IMAGE NOISE; MATHEMATICAL ANALYSIS; MEMRISTIVE NEURAL NETWORK; NERVE CELL STIMULATION; NOISE; NOISE CANCELLATION; PRIORITY JOURNAL; PROBLEM SOLVING; SPIKE; STEADY STATE; SIGNAL NOISE RATIO;

NEURAL NETWORKS (COMPUTER); SIGNAL-TO-NOISE RATIO;

EID: 84906493195     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2014.07.014     Document Type: Article

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