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عنوان
Smart proxy modeling :

پدید آورنده
Shahab D. Mohaghegh.,Mohaghegh, Shahab D.,

موضوع
Engineering models,Engineering,Computer simulation.,Mathematical models.,Artificial intelligence.,Machine learining.,Numerical analysis.,Data processing.,Data processing.

رده
TA342
.
M643
2023

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

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

Proposal/Bug Report

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