深度学习在海洋大数据挖掘中的应用

doi:10.3981/j.issn.1000-7857.2018.17.010

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摘要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。

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关键词 ：深度学习, 海洋大数据, 数据挖掘

Abstract：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.

Key words： deep learning marine big data data mining

收稿日期: 2018-06-01

基金资助:国家重点研发计划项目（2016YFC1401900）

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 E-mail: andyjiangxy@126.com

作者简介: 孙苗,博士,研究方向为海洋大数据挖掘分析,电子信箱:miaosun_public@163.com

引用本文:

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[J]. 科技导报, 2018, 36(17): 83-90.
SUN Miao, FU Yu, LÜ Chongjing, JIANG Xiaoyi. Deep learning application in marine big data mining. Science & Technology Review, 2018, 36(17): 83-90.

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http://www.kjdb.org/CN/10.3981/j.issn.1000-7857.2018.17.010 或 http://www.kjdb.org/CN/Y2018/V36/I17/83

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