Using generative adversarial networks ( <scp>GAN</scp> ) to simulate central‐place foraging trajectories-Reference-Cited by-同舟云学术

Using generative adversarial networks ( GAN ) to simulate central‐place foraging trajectories

Published:2022-04-21 Issue:6 Volume:13 Page:1275-1287
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Roy Amédée¹^ORCID,Fablet Ronan²^ORCID,Bertrand Sophie Lanco¹^ORCID

Affiliation:

1. Institut de Recherche pour le Développement (IRD) MARBEC (Univ. Montpellier, Ifremer, CNRS, IRD) Sète France

2. IMT Atlantique UMR CNRS Lab‐STICC Brest France

Funder

Agence Nationale de la Recherche

Horizon 2020 Framework Programme

Institut de Recherche pour le Développement

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13853

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4. Cognitive abilities of a central place forager interact with prey spatial aggregation in their effect on intake rate

5. Oceans of stimuli: an individual-based model to assess the role of olfactory cues and local enhancement in seabirds’ foraging behaviour

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