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|a (OCoLC)1357498407
|z (OCoLC)1354241133
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|a 9781003314684
|b Taylor & Francis
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| 100 |
1 |
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|6 880-01
|a Hong, Won-Kee
|c (Professor of architectural engineering),
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjwTW7drk9XyT4HkfWBdPP
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| 245 |
1 |
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|a Artificial neural network-based optimized design of reinforced concrete structures /
|c Won-Kee Hong.
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| 264 |
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|a Boca Raton :
|b CRC Press,
|c 2023
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| 300 |
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|a 1 online resource.
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| 520 |
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|a "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"--
|c Provided by publisher.
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| 504 |
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|a Includes bibliographical references and index.
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|a 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.
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|a Won-Kee Hong is a professor of architectural engineering at Kyung Hee University, South Korea. He received his master's and PhD degrees from UCLA, and has worked for Englekirk and Hart, Inc. (USA), Nihhon Sekkei (Japan), and the Samsung Engineering and Construction Company (Korea). Dr. Hong has more than 35 years of professional experience in structural and construction engineering. He has been both an inventor and researcher in the field of modularized composite structures and is the author of more than 100 technical papers and over 100 patents in both Korea and The United States.
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|a Print version record.
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| 650 |
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|a Reinforced concrete construction
|x Mathematical models.
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| 650 |
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|a Structural optimization.
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| 650 |
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|a Lagrangian functions.
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| 650 |
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|a Neural networks (Computer science)
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| 650 |
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|a Construction en béton armé
|x Modèles mathématiques.
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| 650 |
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|a Optimisation des structures.
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| 650 |
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|a Fonctions de Lagrange.
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| 650 |
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|a Réseaux neuronaux (Informatique)
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| 650 |
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7 |
|a Lagrangian functions
|2 fast
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| 650 |
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7 |
|a Neural networks (Computer science)
|2 fast
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| 650 |
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7 |
|a Reinforced concrete construction
|x Mathematical models
|2 fast
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| 650 |
|
7 |
|a Structural optimization
|2 fast
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 710 |
2 |
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|a Taylor & Francis.
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| 776 |
0 |
8 |
|i Print version:
|a Hong, Won-Kee (Professor of architectural engineering).
|t Artificial neural network-based optimized design of reinforced concrete structures.
|d Boca Raton : CRC Press, 2023
|z 9781032323688
|w (DLC) 2022029378
|w (OCoLC)1347267611
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|u http://proxy.library.tamu.edu/login?url=https://www.taylorfrancis.com/books/9781003314684
|z Connect to the full text of this electronic book
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|a Texas A&M University
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