气候变化领域集成服务门户(CCPortal): Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks

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DOI	10.1016/j.marpolbul.2019.110580
	Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks
	Franceschini S.; Mattei F.; D'Andrea L.; Di Nardi A.; Fiorentino F.; Garofalo G.; Scardi M.; Cataudella S.; Russo T.
发表日期	2019
ISSN	0025326X
卷号	149
英文摘要	Marine litter has significant ecological, social and economic impacts, ultimately raising welfare and conservation concerns. Assessing marine litter hotspots or inferring potential areas of accumulation are challenging topics of marine research. Nevertheless, models able to predict the distribution of marine litter on the seabed are still limited. In this work, a set of Artificial Neural Networks were trained to both model the effect of environmental descriptors on litter distribution and estimate the amount of marine litter in the Central Mediterranean Sea. The first goal involved the use of self-organizing maps in order to highlight the importance of environmental descriptors in affecting marine litter density. The second goal was achieved by developing a multilayer perceptron model, which proved to be an efficient method to estimate the regional quantity of seabed marine litter. Results demonstrated that machine learning could be a suitable approach in the assessment of the marine litter issues. © 2019
英文关键词	Machine learning; Mediterranean; MEDITS; Multilayer perceptron; Self-organizing maps
语种	英语
scopus关键词	Conformal mapping; Learning systems; Machine learning; Multilayer neural networks; Multilayers; Central Mediterranean; Descriptors; Hotspots; Marine litter; Marine research; Mediterranean; MEDITS; Social and economic impacts; Self organizing maps; artificial neural network; litter; marine pollution; modeling; spatial distribution; article; human; Mediterranean Sea; multilayer perceptron; algorithm; environmental monitoring; machine learning; procedures; Sicily; waste; Mediterranean Sea; Algorithms; Environmental Monitoring; Machine Learning; Mediterranean Sea; Neural Networks, Computer; Sicily; Waste Products
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149513
作者单位	Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, Rome, 00133, Italy; Istituto per le Risorse Biologiche e le Biotecnologie Marine (IRBIM) – (CNR), Italy; CoNISMa, Piazzale Flaminio, 9, Rome, 00196, Italy
推荐引用方式 GB/T 7714	Franceschini S.,Mattei F.,D'Andrea L.,et al. Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks[J],2019,149.
APA	Franceschini S..,Mattei F..,D'Andrea L..,Di Nardi A..,Fiorentino F..,...&Russo T..(2019).Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks.Marine Pollution Bulletin,149.
MLA	Franceschini S.,et al."Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks".Marine Pollution Bulletin 149(2019).