Applications of Artificial Neural Networks and Machine Learning in Civil Engineering
Author: Ali Kaveh
Publisher: Springer Nature
Published:
Total Pages: 483
ISBN-13: 303166051X
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Artificial Intelligence in Construction Engineering and Management
Author: Limao Zhang
Publisher: Springer Nature
Published: 2021-06-18
Total Pages: 271
ISBN-13: 9811628424
DOWNLOAD EBOOKThis 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.
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering
Author: Ali Kaveh
Publisher: Springer
Published: 2024-09-27
Total Pages: 0
ISBN-13: 9783031660504
DOWNLOAD EBOOKThis 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 Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Author: Gebrail Bekdas
Publisher: Engineering Science Reference
Published: 2019
Total Pages: 312
ISBN-13: 9781799803027
DOWNLOAD EBOOK"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
A Primer on Machine Learning Applications in Civil Engineering
Author: Paresh Chandra Deka
Publisher: CRC Press
Published: 2019-10-28
Total Pages: 211
ISBN-13: 0429836651
DOWNLOAD EBOOKMachine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises
Advanced Applications for Artificial Neural Networks
Author: Adel El-Shahat
Publisher: BoD – Books on Demand
Published: 2018-02-28
Total Pages: 298
ISBN-13: 9535137808
DOWNLOAD EBOOKIn this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
Artificial Neural Networks in Real-life Applications
Author: Juan Ramon Rabunal
Publisher: IGI Global
Published: 2006-01-01
Total Pages: 395
ISBN-13: 1591409020
DOWNLOAD EBOOK"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.
Artificial Neural Networks
Author: Joao Luis Garcia Rosa
Publisher: BoD – Books on Demand
Published: 2016-10-19
Total Pages: 416
ISBN-13: 9535127047
DOWNLOAD EBOOKThe 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.
CIGOS 2019, Innovation for Sustainable Infrastructure
Author: Cuong Ha-Minh
Publisher: Springer Nature
Published: 2019-10-10
Total Pages: 1288
ISBN-13: 981150802X
DOWNLOAD EBOOKThis book presents selected articles from the 5th International Conference on Geotechnics, Civil Engineering Works and Structures, held in Ha Noi, focusing on the theme “Innovation for Sustainable Infrastructure”, aiming to not only raise awareness of the vital importance of sustainability in infrastructure development but to also highlight the essential roles of innovation and technology in planning and building sustainable infrastructure. It provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their recent advances and to exchange knowledge and experience on various topics related to the theme of “Innovation for Sustainable Infrastructure”.
Artificial Neural Network Modelling
Author: Subana Shanmuganathan
Publisher: Springer
Published: 2016-02-03
Total Pages: 468
ISBN-13: 3319284959
DOWNLOAD EBOOKThis book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
