文献
J-GLOBAL ID:202002222894896269
整理番号:20A2011359
雲の多い地域におけるアリ-マイナーアルゴリズムによる採鉱規則に基づく森林火災リスクの予測【JST・京大機械翻訳】
Predicting forest fire risk based on mining rules with ant-miner algorithm in cloud-rich areas
著者 (11件):
Zheng Zhong
(College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China)
,
Zheng Zhong
(Chongqing Institute of Meteorological Sciences, Chongqing 401147, China)
,
Zheng Zhong
(School of Geographical Sciences, Southwest University, Chongqing 400715, China)
,
Gao Yanghua
(Chongqing Institute of Meteorological Sciences, Chongqing 401147, China)
,
Yang Qingyuan
(School of Geographical Sciences, Southwest University, Chongqing 400715, China)
,
Zou Bin
(School of Geosciences and Info-Physics, Central South University, Changsha, 410083 Hunan, China)
,
Xu Yongjin
(School of Geographical Sciences, Southwest University, Chongqing 400715, China)
,
Chen Yanying
(Chongqing Institute of Meteorological Sciences, Chongqing 401147, China)
,
Yang Shiqi
(Chongqing Institute of Meteorological Sciences, Chongqing 401147, China)
,
Wang Yongqian
(College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China)
,
Wang Zengwu
(College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China)
資料名:
Ecological Indicators
(Ecological Indicators)
巻:
118
ページ:
Null
発行年:
2020年
JST資料番号:
A1221A
ISSN:
1470-160X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)