Artificial neural network-based optimized design of reinforced concrete structures /

"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...

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Bibliographic Details
Main Author:	Hong, Won-Kee (Professor of architectural engineering) (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, 2023
Subjects:	Reinforced concrete construction > Mathematical models. Structural optimization. Lagrangian functions. Neural networks (Computer science) Construction en béton armé > Modèles mathématiques. Optimisation des structures. Fonctions de Lagrange. Réseaux neuronaux (Informatique) Lagrangian functions Reinforced concrete construction > Mathematical models Structural optimization Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.