Generalizability of artificial neural network models in ecological applications: Predicting nest occurrence and breeding success of the red-winged blackbird Agelaius phoeniceus

Ecological Modelling

Volumn 195, Issue 1-2, 2006, Pages 94-104

  Özesmi, Uygar ^a   Tan, Can O ^b   Özesmi, Stacy L ^a   Robertson, Raleigh J ^c  

^a ERCIYES UNIVERSITY   (Turkey)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Artificial neural networks; Back propagation; Breeding success; Modelling; Nest occurrence

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; DATA REDUCTION; ECOLOGY; WETLANDS;

BREEDING SUCCESS; MODELING; NEST OCCURRENCE;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BIRD; ECOLOGICAL MODELING; GEOGRAPHICAL REGION; NESTING BEHAVIOR; NESTLING; REPRODUCTIVE SUCCESS;

CONNECTICUT; GREAT LAKES; LAKE ERIE; NORTH AMERICA; OHIO; UNITED STATES;

AGELAIUS PHOENICEUS; AVES;

EID: 33646161221     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.11.013     Document Type: Article

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