FPGA implementation of a systems identification module based upon Hopfield networks

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2828-2835

  Atencia, Miguel ^a   Boumeridja, Hafida ^a   Joya, Gonzalo ^a   García Lagos, Francisco ^a   Sandoval, Francisco ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Dynamical systems identification; Field programmable gate arrays; Hopfield neural networks; Parameter estimation; Robotic systems

Indexed keywords

COMPUTER SIMULATION; DYNAMICAL SYSTEMS; HOPFIELD NEURAL NETWORKS; IDENTIFICATION (CONTROL SYSTEMS); OPTIMIZATION; PARAMETER ESTIMATION; ROBOTICS;

NATURAL PARALLELISM OF NEURAL NETWORKS; NONLINEAR FUNCTIONS COMPUTATIONS;

FIELD PROGRAMMABLE GATE ARRAYS (FPGA);

ACCURACY; ARITHMETIC; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; COMPUTER SIMULATION; MATHEMATICAL COMPUTING; METHODOLOGY; PARAMETRIC TEST; PRIORITY JOURNAL;

EID: 34548181352     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.06.012     Document Type: Article

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