Computational Intelligence in Emerging Technologies for Engineering Applications

Llanes Santiago, Orestes, Cruz Corona, Carlos, Silva Neto, Antônio José

Computational Intelligence in Emerging Technologies for Engineering Applications
  • 出版商: Springer
  • 出版日期: 2021-02-15
  • 售價: $4,430
  • 貴賓價: 9.5 折 $4,209
  • 語言: 英文
  • 頁數: 291
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030344118
  • ISBN-13: 9783030344115

    • 海外代購書籍(需單獨結帳)

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商品描述

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. 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.

作者簡介

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 intelligence and 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.

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