INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(hbk)
Qualification
(pbk)
Qualification
(ebk)
(Number (ISBN
9781032151144
(Number (ISBN
9781032151151
Erroneous ISBN
9781003242581
NATIONAL BIBLIOGRAPHY NUMBER
Number
15154
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Smart proxy modeling :
Other Title Information
artificial intelligence and machine learning in numerical simulation /
First Statement of Responsibility
Shahab D. Mohaghegh.
EDITION STATEMENT
Edition Statement
First edition.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton, FL :
Name of Publisher, Distributor, etc.
CRC Press,
Date of Publication, Distribution, etc.
2023.
PROJECTED PUBLICATION DATE
Date
2210
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
189p.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
"Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations which can otherwise take tens of hours. This book focuses on smart proxy modeling and provides readers with all the essential details on how to develop smart proxy models using artificial intelligence and machine learning, as well as how it may be used in real-world cases. Covers replication of highly accurate numerical simulations using artificial intelligence and machine learning. Details application in reservoir simulation and modeling, and computational fluid dynamics. Includes real case studies based on commercially available simulators. Smart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Engineering models
Entry Element
Engineering
Entry Element
Computer simulation.
Entry Element
Mathematical models.
Entry Element
Artificial intelligence.
Entry Element
Machine learining.
Entry Element
Numerical analysis.
Topical Subdivision
Data processing.
Topical Subdivision
Data processing.
DEWEY DECIMAL CLASSIFICATION
Number
620
.
001/1
Edition
23/eng/20220818
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TA342
Book number
.
M643
2023
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Mohaghegh, Shahab D.,
ORIGINATING SOURCE
Agency
کتابخانه مرکزی و مرکز اطلاع رسانی دانشگاه
Date of Transaction
20231009103259.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب BL
270410
Y
