Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

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About this book

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures in twenty two chapters. Nowadays, the world has witnessed unprecedented advances in technology and computer science. Artificial intelligence has emerged as a top field captivating global attention. Often referred to as AI, this technology stands apart from other disciplines as it aims to design machines and systems that exhibit intelligence, learn autonomously, and make decisions akin to humans. In order to comprehend the impact of this innovation, one must delve into the workings of artificial intelligence, trace its historical evolution from inception to the present day, and explore its diverse applications in domains like medicine, transportation, broadcasting, and marketing. Artificial intelligence introduces a transformative element to our reality, fostering significant breakthroughs and innovations.

The book is used in any AI course, in particular, in Civil Engineering. It is also utilized in various fields of Industrial Civil Engineering.

Keywords

Table of contents (22 chapters)

Front Matter

Pages i-xvi

Artificial Intelligence: Background, Applications and Future

Buckling Resistance Prediction of High-Strength Steel Columns Using Metaheuristic-Trained Artificial Neural Networks

Pages 55-73

The Use of Artificial Neural Networks and Metaheuristic Algorithms to Optimize the Compressive Strength of Concrete

Pages 75-83

Design of Double Layer Grids Using Backpropagation Neural Networks