Progress of machine learning in geosciences:Preface
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Amir HAlavi
[1
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Amir HGandomi
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BEACON Center for the Study of Evolution in Action,Michigan State UniversityDepartment of Civil and Environmental Engineering,Michigan State University
Amir HGandomi
[2
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David JLary
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Hanson Center for Space Science,University of Texas atDepartment of Civil and Environmental Engineering,Michigan State University
David JLary
[3
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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
<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
机构:
BEACON Center for the Study of Evolution in Action,Michigan State UniversityDepartment of Civil and Environmental Engineering,Michigan State University
Amir H.Gandomi
David J.Lary
论文数: 0|引用数: 0|
h-index: 0|
机构:
Hanson Center for Space Science,University of Texas at DallasDepartment of Civil and Environmental Engineering,Michigan State University