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| DOI | 10.1111/ele.13462 |
| Neural hierarchical models of ecological populations | |
| Joseph M.B. | |
| 发表日期 | 2020 |
| ISSN | 1461023X |
| 英文摘要 | Neural networks are increasingly being used in science to infer hidden dynamics of natural systems from noisy observations, a task typically handled by hierarchical models in ecology. This article describes a class of hierarchical models parameterised by neural networks – neural hierarchical models. The derivation of such models analogises the relationship between regression and neural networks. A case study is developed for a neural dynamic occupancy model of North American bird populations, trained on millions of detection/non-detection time series for hundreds of species, providing insights into colonisation and extinction at a continental scale. Flexible models are increasingly needed that scale to large data and represent ecological processes. Neural hierarchical models satisfy this need, providing a bridge between deep learning and ecological modelling that combines the function representation power of neural networks with the inferential capacity of hierarchical models. © 2020 John Wiley & Sons Ltd/CNRS |
| 英文关键词 | Deep learning; hierarchical model; neural network; occupancy |
| 语种 | 英语 |
| 来源期刊 | Ecology Letters
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/120964 |
| 作者单位 | Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80303, United States |
| 推荐引用方式 GB/T 7714 | Joseph M.B.. Neural hierarchical models of ecological populations[J],2020. |
| APA | Joseph M.B..(2020).Neural hierarchical models of ecological populations.Ecology Letters. |
| MLA | Joseph M.B.."Neural hierarchical models of ecological populations".Ecology Letters (2020). |
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