Binding: Paperback
Description: 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 AN Ns 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.
Title: Artificial Intelligence - Based Design Of Reinforced Concrete Structures Artificial Neural Networks For Engineering Applications
Author(s): Hong Won - Kee (Dr. Won - Kee Hong Is A Professor Of Architectural Engineering At Kyung Hee University South Korea.)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443152528
Pages: 508 Pages
Publication Date: 5/3/2023
Series: Woodhead Publishing Series in Civil and Structural Engineering
Category: Neural Networks & Fuzzy Systems