Energy minimization in the nonlinear dynamic recurrent associative memory

Neural Networks

Volumn 21, Issue 7, 2008, Pages 1041-1044

  Hélie, Sébastien ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Artificial neural network; Cohen Grossberg theorem; Dynamical system; Energy function; Recurrent associative memory

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSOCIATIVE PROCESSING; COMPUTER NETWORKS; COMPUTER SIMULATION; DATA STORAGE EQUIPMENT; VEGETATION;

ARTIFICIAL NEURAL NETWORK; COHEN-GROSSBERG THEOREM; DYNAMICAL SYSTEM; ENERGY FUNCTION; RECURRENT ASSOCIATIVE MEMORY;

NEURAL NETWORKS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATIVE MEMORY; COMPUTER SIMULATION; ENERGY; NETWORK LEARNING; NONLINEAR DYNAMIC RECURRENT ASSOCIATIVE MEMORY; NONLINEAR SYSTEM; PRIORITY JOURNAL;

ASSOCIATION LEARNING; BIOMIMETICS; COMPUTER SIMULATION; HUMANS; MEMORY; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS;

EID: 51049116190     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.06.005     Document Type: Article

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