Artificial Intelligence-Based Design of Reinforced Concrete Structures - Artificial Neural Networks for Engineering Applications (Paperback)

AI-based technologies and, in a broader sense, digital technologies have become very important in civil engineering design. Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for those 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. There are plenty of examples based on real engineering problems and solutions.

General

Imprint:	Woodhead Publishing Ltd
Country of origin:	United States
Series:	Woodhead Publishing Series in Civil and Structural Engineering
Release date:	May 2023
First published:	2023
Authors:	Won-Kee Hong
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	270
ISBN-13:	978-0-443-15252-8
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Promotions
LSN:	0-443-15252-7
Barcode:	9780443152528

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