Overview
- Highlights a diverse range of applications of computational intelligence, notably condition monitoring and fault diagnosis, in key fields of engineering
- Presents key applications, computational tools and original results using rigorous mathematical procedures
- Gathers contributions by authors from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain
Part of the book series: Studies in Computational Intelligence (SCI, volume 872)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.
Editors and Affiliations
About the editors
Orestes Llanes Santiago received his Electrical Engineer degree from the Universidad Tecnológica de La Habana “José Antonio Echeverría” – CUJAE, Cuba, in 1981. From 1989 to 1994, he pursued graduate studies at the Universidad de Los Andes, Venezuela, where he completed a Master’s degree in Control Engineering (1990) and a PhD in Applied Sciences (1994). He is currently a Full Professor and Researcher at the Faculty of Automation and Biomedical Engineering at the CUJAE and Titular Member of the Cuban Academy of Sciences. His areas of interest are fault diagnosis in industrial systems, nonlinear control, inverse problems and computational intelligence with applications to control.
Carlos Cruz Corona is an Associate Professor at the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. He obtained an Electronic Engineering degree (1986) from the Universidad Central de Las Villas, and a Master’s in Computer Science from the Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE (1995), both in Cuba, as well as a PhD from the University of Granada, Spain (2005). His fields of research include optimization, decision making, route personalization, and design problems.
Antônio José da Silva Neto is a Full Professor at the Polytechnic Institute of Rio de Janeiro State University, Brazil. He holds Bachelor’s and Master’s degrees in Mechanical and Nuclear Engineering, respectively, both from the Federal University of Rio de Janeiro (1983, 1989), and a PhD in Mechanical Engineering from North Carolina State University, USA (1993). He is a Titular Member of the Brazilian National Academy of Engineering (ANE), and former president of the Brazilian Scientific Societies on Mechanical Sciences and Engineering (ABCM) and Computational and Applied Mathematics (SBMAC). His main research interests are in heat and mass transfer, numerical methods, optimization, computational intelligenceand inverse problems.
José Luis Verdegay is a Full Professor at the Department of Computer Science and Artificial Intelligence, University of Granada, Spain, where he received his Master’s in Mathematics (1975) and his PhD (1981). He is an IFSA member, IEEE Senior Member and Honorary Member of the Cuban Academy of Mathematics and Computation. His research interests are in soft computing, fuzzy sets and systems, decision autonomous systems, metaheuristic algorithms, and nature inspired systems.
Bibliographic Information
Book Title: Computational Intelligence in Emerging Technologies for Engineering Applications
Editors: Orestes Llanes Santiago, Carlos Cruz Corona, Antônio José Silva Neto, José Luis Verdegay
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-34409-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34408-5Published: 15 February 2020
Softcover ISBN: 978-3-030-34411-5Published: 15 February 2021
eBook ISBN: 978-3-030-34409-2Published: 14 February 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XX, 291
Number of Illustrations: 20 b/w illustrations, 70 illustrations in colour
Topics: Computational Intelligence, Engineering Mathematics, Control and Systems Theory, Optimization, Thermodynamics