عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(hardback)
Qualification
(paperback)
Qualification
(ebook)
(Number (ISBN
9781032323688
(Number (ISBN
9781032323695
Erroneous ISBN
9781003314684
NATIONAL BIBLIOGRAPHY NUMBER
Number
7259
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Artificial neural network-based optimized design of reinforced concrete structures
General Material Designation
[electronic resources]
First Statement of Responsibility
Won-Kee Hong.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
CRC Press
Date of Publication, Distribution, etc.
2023
PROJECTED PUBLICATION DATE
Date
2212
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xv, 564 pages.
Other Physical Details
ill. (some color), tables.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Introduction to Lagrange optimization for engineering applications -- AI-based Lagrange optimization adopting universally generalizable functions -- An optimized design of reinforced concrete columns based on an ANN-based Hong-Lagrange method -- Optimizing reinforced concrete beam cost using ANN-based Hong-Lagrange method -- ANN-based structural designs using Lagrange multipliers optimizing multiple objective functions.
0
SUMMARY OR ABSTRACT
Text of Note
"Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures, while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Hong-Lagrange method. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. The book suits undergraduate and graduate students who have a good understanding of college-level calculus and will be especially beneficial to engineers and contractors who seek to optimize concrete structures"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Reinforced concrete construction
Entry Element
Structural optimization
Entry Element
Lagrangian functions
Entry Element
Neural networks (Computer science)
Topical Subdivision
Mathematical models
UNCONTROLLED SUBJECT TERMS
Subject Term
Neural networks.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Hong, Won-Kee
Additions to Names Other than Dates
(Professor of architectural engineering),
Relator Code
Author
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20250514122920.0
Cataloguing Rules (Descriptive Conventions))
rda
e
BL
280328
a
Y
