首页> Environmental monitoring and assessment> Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin.

Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin.

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第一作者： E,Nkiaka

第一单位： School of Geography, University of Leeds, Leeds, UK. gyenan@leeds.ac.uk.

作者： E,Nkiaka ^[1] ; N R,Nawaz ^[2] ; J C,Lovett ^[2]

作者单位： School of Geography, University of Leeds, Leeds, UK. gyenan@leeds.ac.uk. ^[1] School of Geography, University of Leeds, Leeds, UK. ^[2]

关键词 Artificial neural networks Hydro-meteorological data Infilling missing data Logone catchment Self-organizing maps

医学主题词算法(Algorithms);人工智能(Artificial Intelligence);乍得(Chad);环境监测(Environmental Monitoring);气象学(Meteorology);江河(Rivers)

DOI 10.1007/s10661-016-5385-1

PMID 27282595

发布时间 2019-12-10

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Environmental monitoring and assessment

2016年188卷7期

400页

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Environmental monitoring and assessment

2016年188卷7期

400页

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Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin.

Environmental monitoring and assessment

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Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin.

Environmental monitoring and assessment

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同项目论文

Environmental monitoring and assessment

相关期刊

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