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Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

Author : Ali Kaveh

Publisher : Springer

Page : 0 pages

File Size : 18,24 MB

Release : 2024-09-27

Category : Computers

ISBN : 9783031660504

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Book Description

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.



Artificial Neural Networks for Civil Engineers

Author : Ian Flood

Publisher : ASCE Publications

Page : 300 pages

File Size : 33,3 MB

Release : 1998-01-01

Category : Technology & Engineering

ISBN : 9780784474464

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Book Description

Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.Ø Topics include: Øevaluating new construction technologies; Øusing multi-layeredØartificial neural networkØarchitecture to overcome problems with conventional traffic signal control systems; Øincreasing the computational efficiency of an optimization model; Øpredicting carbonation depth in concrete structures; Ødetecting defects in concrete piles; Øanalyzing pavement systems; Øusing neural network hybrids to select the most appropriate bidders for a construction project; and Øpredicting the Energy Performance Index of residential buildings. ØMany of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.





Artificial Neural Networks for Civil Engineers

Author : Ian Flood

Publisher : Amer Society of Civil Engineers

Page : 277 pages

File Size : 39,28 MB

Release : 1998-01-01

Category : Technology & Engineering

ISBN : 9780784403440

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Book Description

Artificial neural networks represent a broad and rapidly developing technology featuring new systems and novel ways of applying established systems. This monograph illustrates advanced methods and recent developments in applying artificial neural network concepts in civil engineering.



Artificial Neural Networks

Author : Joao Luis Garcia Rosa

Publisher : BoD – Books on Demand

Page : 416 pages

File Size : 19,32 MB

Release : 2016-10-19

Category : Computers

ISBN : 9535127047

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Book Description

The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.









Artificial Intelligence in Construction Engineering and Management

Author : Limao Zhang

Publisher : Springer Nature

Page : 271 pages

File Size : 22,89 MB

Release : 2021-06-18

Category : Technology & Engineering

ISBN : 9811628424

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Book Description

This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.



Artificial Intelligence-Based Design of Reinforced Concrete Structures

Author : Won-Kee Hong

Publisher : Elsevier

Page : 510 pages

File Size : 40,98 MB

Release : 2023-04-29

Category : Technology & Engineering

ISBN : 0443152535

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Book 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 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. Helps civil engineers understand the fundamentals of AI and ANNs and how to apply them in simple reinforced concrete design cases Contains practical case study examples on the application of AI technology in structural engineer Teaches readers how to apply ANNs as solutions for a broad range of engineering problems Includes AI-based software [MATLAB], which will enable readers to verify AI-based examples