Progress of machine learning in geosciences:Preface

被引:0
|
作者
Amir HAlavi [1 ]
Amir HGandomi [2 ]
David JLary [3 ]
机构
[1] Department of Civil and Environmental Engineering,Michigan State University
[2] BEACON Center for the Study of Evolution in Action,Michigan State University
[3] Hanson Center for Space Science,University of Texas at
关键词
D O I
暂无
中图分类号
学科分类号
摘要
<正>In the past two decades,artificial intelligence(AI)algorithms have proved to be promising tools for solving several tough scientific problems.As a broad subfield of AI,machine learning is concerned with algorithms and techniques that allow computers to"learn".The machine learning approach covers main domains such as data mining,difficult-to-program applications,and software applications.It is a collection of a variety of algorithms that
引用
收藏
页数:2
相关论文
共 50 条
  • [31] Application Progress of Machine Learning in Turbomachinery
    Liu, Hao
    Li, Guoqing
    Zhang, Shen
    Li, Ang
    Zhang, Yanfeng
    Lu, Xingen
    [J]. Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2023, 44 (04): : 938 - 951
  • [32] Research Progress of Gliomas in Machine Learning
    Wu, Yameng
    Guo, Yu
    Ma, Jun
    Sa, Yu
    Li, Qifeng
    Zhang, Ning
    [J]. CELLS, 2021, 10 (11)
  • [33] Tiny Machine Learning: Progress and Futures
    Lin, Ji
    Zhu, Ligeng
    Chen, Wei-Ming
    Wang, Wei-Chen
    Han, Song
    [J]. IEEE CIRCUITS AND SYSTEMS MAGAZINE, 2023, 23 (03) : 8 - 34
  • [34] Geosciences at school 2018: geoscience and society Preface
    Cifelli, Francesca
    Cirrincione, Lino
    Paris, Eleonora
    Pelfini, Manuela
    [J]. RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 2019, 49 : 3 - 3
  • [35] Progress on Standards Development for Remote Sensing in the Geosciences
    Khalsa, Siri Jodha S.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2020, 8 (03) : 95 - 99
  • [36] Preface to the Focus Section on Machine Learning in Seismology
    Bergen, Karianne J.
    Chen, Ting
    Li, Zefeng
    [J]. SEISMOLOGICAL RESEARCH LETTERS, 2019, 90 (02) : 477 - 480
  • [37] Special Issue on "Optimization and Machine learning" Preface
    d'Aspremont, Alexandre
    Bach, Francis
    Dhillon, Inderjit S.
    Yu, Bin
    [J]. MATHEMATICAL PROGRAMMING, 2011, 127 (01) : 1 - 2
  • [38] Preface to the special topic: Machine learning and physics
    Deng Dong-Ling
    [J]. ACTA PHYSICA SINICA, 2021, 70 (14)
  • [39] From machine learning to deep learning: progress in machine intelligence for rational drug discovery
    Zhang, Lu
    Tan, Jianjun
    Han, Dan
    Zhu, Hao
    [J]. DRUG DISCOVERY TODAY, 2017, 22 (11) : 1680 - 1685
  • [40] Machine learning:recent progress in China and beyond
    Zhi-Hua Zhou
    [J]. National Science Review, 2018, 5 (01) : 20 - 20