文献
J-GLOBAL ID:202202232926195477
整理番号:22A1118097
X線蛍光コアスキャナによる海洋堆積物コアのその場解析への遺伝的アルゴリズムに基づく逆伝搬ニューラルネットワークモデルの応用【JST・京大機械翻訳】
Application of a back propagation neural network model based on genetic algorithm to in situ analysis of marine sediment cores by X-ray fluorescence core scanner
著者 (10件):
Li Qiang
(Guangzhou Marine Geological Survey, 510760, Guangzhou, China)
,
Li Qiang
(Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources of the People’s Republic of China, 510075, Guangzhou, China)
,
Tu Gongping
(Guangzhou Marine Geological Survey, 510760, Guangzhou, China)
,
Tu Gongping
(Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources of the People’s Republic of China, 510075, Guangzhou, China)
,
Zhang Xuehua
(Guangzhou Marine Geological Survey, 510760, Guangzhou, China)
,
Zhang Xuehua
(Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources of the People’s Republic of China, 510075, Guangzhou, China)
,
Cheng Sihai
(Guangzhou Marine Geological Survey, 510760, Guangzhou, China)
,
Cheng Sihai
(Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources of the People’s Republic of China, 510075, Guangzhou, China)
,
Yang Tianbang
(Guangzhou Marine Geological Survey, 510760, Guangzhou, China)
,
Yang Tianbang
(Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources of the People’s Republic of China, 510075, Guangzhou, China)
資料名:
Applied Radiation and Isotopes
(Applied Radiation and Isotopes)
巻:
184
ページ:
Null
発行年:
2022年
JST資料番号:
C0201A
ISSN:
0969-8043
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)