Artificial neural networks can learn to estimate extinction rates from molecular phylogenies

Journal of Theoretical Biology

Volumn 243, Issue 3, 2006, Pages 449-454

  Bokma, Folmer ^a  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

Author keywords

Artificial intelligence; Macroevolution; Modelling; Parameter estimation; Speciation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; EXTINCTION; GRAPHICAL METHOD; NUMERICAL METHOD; PHYLOGENY; SIMULATION; SPECIATION (BIOLOGY);

ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSAY; EVOLUTION; FISH; FUNCTIONAL ASSESSMENT; GENUS; LEARNING; MOLECULAR EVOLUTION; MOLECULAR PHYLOGENY; PRIORITY JOURNAL; SIMULATION; SPECIES DIFFERENTIATION; SPECIES EXTINCTION; STATISTICAL MODEL; TASK PERFORMANCE;

ANIMALS; BIODIVERSITY; EVOLUTION, MOLECULAR; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); PHYLOGENY;

NASO;

EID: 33750463744     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2006.06.023     Document Type: Article

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