Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for...

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Won-Kee Hong (Dr. Won-Kee Hong is a professor of Architectural Engineering at Kyung Hee University, South Korea.)

Artificial Intelligence-Based Design of Reinforced Concrete Structures

Artificial Neural Networks for Engineering Applications

Won-Kee Hong (Dr. Won-Kee Hong is a professor of Architectural Engineering at Kyung Hee University, South Korea.)

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English

Woodhead Publishing
03 May 2023

Materials science; Building construction & materials; Neural networks & fuzzy systems

Series: Woodhead Publishing Series in Civil and Structural Engineering

Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures.

Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts.

By: Won-Kee Hong (Dr. Won-Kee Hong is a professor of Architectural Engineering at Kyung Hee University South Korea.)
Imprint: Woodhead Publishing
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm,
Weight: 1.000kg
ISBN: 9780443152528
ISBN 10: 0443152527
Series: Woodhead Publishing Series in Civil and Structural Engineering
Pages: 508
Publication Date: 03 May 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. 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 hybrid composite structures and is the author of more than 100 technical papers and over 100 patents in both Korea and USA. In 2019, Dr. Hong also published “Hybrid Composite Precast Systems: Numerical Investigation to Construction, in the Woodhead Publishing Series in Civil and Structural Engineering, which has had an enthusiastic reception from readers. In this book, the author presented the basic concepts of artificial neural networks (ANNs) in Chapter 10 which contains an introduction to the implementation of AI-based neural networks applied to the design of reinforced concrete beams. More than 15 papers of Dr. Hong on the area of AI-based structural designs have been published or accepted in Journals published by Elsevier, Taylors and Francis. He also runs a YouTube channel (Deep learning for beginners; Won-Kee Hong, Kyung Hee University) on AI-based structural designs. Dr. Hong is a registered professional and structural engineer both in Korea and the United States.