Predicting larval tick burden on white-footed mice with an artificial neural network

Author:

Mowry Stacy,Keesing Felicia,Fischhoff Ilya R.,Ostfeld Richard S.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference48 articles.

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3. Increased incidence of Lyme borreliosis in southern Sweden following mild winters and during warm, humid summers;Bennet;Eur. J. Clin. Microbiol. Infect. Dis.,2006

4. Neural Networks for Pattern Recognition;Bishop,1995

5. Bishop, C. (1996). Neural Computing Research Group. Neural Networks: Pattern Recognition Perspective. New York: Oxford University Press. Retrieved from https://www.microsoft.com/en-us/research/wpcontent/uploads/1996/01/neural_networks_pattern_recognition.pdf

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