Energy consumption analysis for various memristive networks under different learning strategies

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 380, Issue 7-8, 2016, Pages 903-909

  Deng, Lei ^a   Wang, Dong ^a   Zhang, Ziyang ^a   Tang, Pei ^a   Li, Guoqi ^a   Pei, Jing ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Brain inspired computation; Energy consumption; Memristor; Neural networks; Neuromorphic engineering

Indexed keywords

BRAIN; ENERGY EFFICIENCY; ENERGY UTILIZATION; MEMRISTORS; NEURAL NETWORKS;

BRAIN-INSPIRED; COMPUTING PARADIGM; ENERGY CONSUMPTION ANALYSIS; LEARNING STRATEGY; MEMRISTIVE SYSTEMS; MEMRISTOR; NETWORK LEARNING; NEUROMORPHIC ENGINEERING;

LEARNING SYSTEMS;

EID: 84955682383     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2015.12.024     Document Type: Article

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