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科技导报
| 专题:人工智能 2018, 36(17): 83-90
深度学习在海洋大数据挖掘中的应用
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孙苗, 符昱, 吕憧憬, 姜晓轶
作者信息
通讯作者:
姜晓轶(通信作者),研究员,研究方向为海洋信息化技术,电子信箱:andyjiangxy@126.com
Deep learning application in marine big data mining
SUN Miao, FU Yu, LÜ Chongjing, JIANG Xiaoyi
Affiliations
出版时间: 2018-09-13
doi: 10.3981/j.issn.1000-7857.2018.17.010
文章导航
介绍了深度学习的关键发展节点和应用发展历程,分析了深度学习在国内外主要领域的发展现状;概述了多个深度学习的关键算法原理,分析了深度学习在海洋数据重构、分类识别和预测等海洋大数据挖掘中的相关应用;提出了深度学习未来可能面临的问题,并从加强顶层设计、信息安全和强化算法鲁棒性等方面,展望了深度学习在海洋大数据挖掘中的应用前景。
We introduce the development and application background of deep learning and analyze the state-of-the-art deep learning technology in related domains. The key algorithms of deep learning and their related applications in the marine field are given from the aspects of marine data reconstruction, classification, and prediction. Furthermore, we also discuss the potential problems of the deep learning application in marine big data mining. The prospect of deep learning application is discussed in terms of optimizing the mechanism, strengthening information security and intensifying algorithm robustness.
deep learning
/
marine big data
/
data mining
孙苗, 符昱, 吕憧憬, 姜晓轶.
深度学习在海洋大数据挖掘中的应用.
科技导报,
2018
, 36
(17)
: 83
-90
.
DOI: 10.3981/j.issn.1000-7857.2018.17.010
SUN Miao, FU Yu, LÜ Chongjing, JIANG Xiaoyi.
Deep learning application in marine big data mining[J].
Science & Technology Review ,
2018
, 36
(17)
: 83
-90
.
DOI: 10.3981/j.issn.1000-7857.2018.17.010
2018年第36卷第17期
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文章信息
doi: 10.3981/j.issn.1000-7857.2018.17.010
接收时间:2018-06-01
首发时间:2018-09-18
出版时间:2018-09-13
收稿日期:2018-06-01
修回日期:2018-08-29
通讯作者:
姜晓轶(通信作者),研究员,研究方向为海洋信息化技术,电子信箱:andyjiangxy@126.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2018.17.010
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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