气候变化领域集成服务门户(CCPortal): Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics

CCPortal

DOI	10.1029/2019MS001909
	Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics
	Larraondo P.R.; Renzullo L.J.; Van Dijk A.I.J.M.; Inza I.; Lozano J.A.
发表日期	2020
ISSN	19422466
卷号	12 期号:5
英文摘要	This work introduces a methodology for optimizing neural network models using a combination of continuous and categorical binary indices in the context of precipitation forecasting. Probability of detection and false alarm rate are popular metrics used in the verification of precipitation models. However, machine learning models trained using gradient descent cannot be optimized based on these metrics, as they are not differentiable. We propose an alternative formulation for these categorical indices that are differentiable and we demonstrate how they can be used to optimize the skill of precipitation neural network models defined as a multiobjective optimization problem. To our knowledge, this is the first proposal of a methodology for optimizing weather neural network models based on categorical indices. ©2020. The Authors.
英文关键词	categorical indexes; machine learning; modeling; neural networks; precipitation verification
语种	英语
scopus关键词	Gradient methods; Learning systems; Multiobjective optimization; Weather forecasting; False alarm rate; Gradient descent; Machine learning models; Multi-objective optimization problem; Neural network model; Precipitation forecasting; Precipitation model; Probability of detection; Deep learning; artificial neural network; climate modeling; detection method; forecasting method; learning; optimization; precipitation (climatology); training
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156716
作者单位	Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia; Intelligent Systems Group, University of the Basque Country, Donostia, Spain
推荐引用方式 GB/T 7714	Larraondo P.R.,Renzullo L.J.,Van Dijk A.I.J.M.,et al. Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics[J],2020,12(5).
APA	Larraondo P.R.,Renzullo L.J.,Van Dijk A.I.J.M.,Inza I.,&Lozano J.A..(2020).Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics.Journal of Advances in Modeling Earth Systems,12(5).
MLA	Larraondo P.R.,et al."Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics".Journal of Advances in Modeling Earth Systems 12.5(2020).