Optimization learning control interdependent (5 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2021
Serie: Buch 353 von 540 - Advances in Intelligent Systems and Computing
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer Nature, 2021
Serie: Buch 353 von 540 - Advances in Intelligent Systems and Computing
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Paperback. Zustand: Brand New. 316 pages. 9.25x6.10x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
Serie: Buch 353 von 540 - Advances in Intelligent Systems and Computing
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for rese…archers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. - Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks - Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks - Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.
Weitere BilderSprache: Englisch
Verlag: Springer, 2021
Serie: Buch 353 von 540 - Advances in Intelligent Systems and Computing
- Softcover
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Taschenbuch. Zustand: Neu. Optimization, Learning, and Control for Interdependent Complex Networks | M. Hadi Amini | Taschenbuch | Advances in Intelligent Systems and Computing | x | Englisch | 2021 | Springer | EAN 9783030340964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juer…gen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2020
Serie: Buch 353 von 540 - Advances in Intelligent Systems and Computing
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers… working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. - Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks - Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks - Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.
