A possible machine learning method for evaluating the correlation between species occurrence combination and climate: analysis of insect species combination and temperature in Korean artificial wetlands - koreascholar

논문 상세보기

A possible machine learning method for evaluating the correlation between species occurrence combination and climate: analysis of insect species combination and temperature in Korean artificial wetlands

Jeong Ho Hwang, Han-Jun Cho, Jong Bong Choi, Seung-Lak An, Kyun Park

언어ENG
URLhttps://db.koreascholar.com/Article/Detail/401474

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한국응용곤충학회 학술대회논문집

2020 KSAE 한국응용곤충학회 정기총회 및 추계학술발표회 (2020.10)
p.99

한국응용곤충학회 (Korean Society Of Applied Entomology)

키워드

machine learninginsect species combinationclimateartificial wetland

저자

Jeong Ho Hwang(Research Division, National Science Museum)
Han-Jun Cho(Department of Biomedical Institute for Convergence at SKKU)
Jong Bong Choi(Department of Ecological Science, Kyungpook National University)
Seung-Lak An(Research Division, National Science Museum)
Kyun Park(Department of Ecological Science, Kyungpook National University)

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