A binary Hopfield neural network with hysteresis for large crossbar packet-switches

Neurocomputing

Volumn 67, Issue 1-4 SUPPL., 2005, Pages 417-425

  Xia, Guangpu ^a   Tang, Zheng ^a   Li, Yong ^a   Wang, Jiahai ^a  

^a UNIVERSITY OF TOYAMA   (Japan)

Author keywords

Collective computational properties; Crossbar switch; Hysteresis; Network architecture

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; CROSSBAR EQUIPMENT; HYSTERESIS; PACKET SWITCHING; PROBLEM SOLVING;

BINARY NEURONS; COMPUTATION POWER; HOPFIELD NEURAL NETWORK; PACKET-SWITCHES;

NEURAL NETWORKS;

ARCHITECTURE; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CELL ENERGY; COMPUTER SIMULATION; HYSTERESIS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; NERVE CELL NETWORK; PRIORITY JOURNAL; PROBLEM SOLVING; QUALITY CONTROL; STEADY STATE;

EID: 21744457817     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.09.004     Document Type: Article

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