Embedding recurrent neural networks into predator-prey models

Neural Networks

Volumn 12, Issue 2, 1999, Pages 237-245

  Moreau, Yves ^a   Louiès, Stéphane ^b   Vandewalle, Joos ^a   Brenig, Léon ^b  

^a Katholieke Universiteit Leuven   (Belgium)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Continuous time neural networks; Equivalence of dynamical systems; Lotka Volterra systems; Predator prey models; Quasi monomial forms

Indexed keywords

EMBEDDED SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; ORDINARY DIFFERENTIAL EQUATIONS;

CONTINUOUS-TIME NEURAL NETWORKS; LOTKA-VOLTERRA SYSTEMS; PREDATOR-PREY MODELS; QUASI-MONOMIAL FORMS;

RECURRENT NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DYNAMICS; EMBEDDING; MATHEMATICAL MODEL; PRIORITY JOURNAL;

EID: 0033106021     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(98)00120-8     Document Type: Article

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