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Advances in Hybridization of Intelligent Methods

Models, Systems and Applications
Artikelnummer: 978-3-319-66789-8
Einband: Fester Einband
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This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016.

The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.



EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.

This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016.

The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.



EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
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VerlagSpringer EN
EinbandFester Einband
Erscheinungsjahr2017
Seitenangabe147 S.
AusgabekennzeichenEnglisch
AbbildungenIX, 147 p. 44 illus., 23 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
MasseH23.5 cm x B15.5 cm 3'672 g
CoverlagSpringer (Imprint/Brand)
Auflage1st ed. 2018
ReiheSmart Innovation, Systems and Technologies
AutorHatzilygeroudis, Ioannis (Hrsg.) / Palade, Vasile (Hrsg.)

Alle Bände der Reihe "Smart Innovation, Systems and Technologies"

Über den Autor Ioannis (Hrsg.) Hatzilygeroudis

Dr. Ioannis Hatzilygeroudis received his Diploma in Mechanical & Electrical Engineering from the National Technical University of Athens (NTUA), Greece; his M.Sc. in Information Technology and his PhD in Artificial Intelligence from the University of Nottingham, UK. Currently he is a Professor at the Department of Computer Engineering and Informatics, University of Patras, Greece. He is an Associate Editor-in-Chief of the International Journal of Artificial Intelligence Tools (IJAIT). He has also been member of the PCs of over 100 AI related conferences. He has published over 120 papers in international journals, edited volumes and proceedings. His main research interests are: artificial intelligence, knowledge representation, expert systems, knowledge engineering, machine learning, intelligent educational systems, intelligent e-learning, sentiment analysis. He is member of IEEE, ACM, AIED Society and the Hellenic Artificial Intelligence society (EETN). Dr. Isidoros Perikos received his Diploma of Computer Engineer in 2008 and his MSc and Ph.D. in Computer Science from the Department of Computer Engineering and Informatics, University of Patras, in 2010 and 2016 respectively. His main research interests include artificial intelligence, natural language processing, machine learning and affective computing. He has published over 60 papers in international journals, conferences and workshops proceedings. He has participated in several national and European R&D projects. He is a member of IEEE, ACM and the Hellenic Artificial Intelligence society. Dr. Foteini Grivokostopoulou received her Degree in applied mathematics from the University of Crete in 2006, the MSc in Mathematics of Computation and Decision Making in 2010 from the University of Patras and Ph.D. in Computer Science from the Department of Computer Engineering and Informatics, University of Patras in 2016. She is currently a Post-Doctoral Researcher at the ArtificialIntelligence Group of the Department of Computer Engineering and Informatics. Her research interests are in the fields of Artificial Intelligence, Machine Learning, Intelligent Tutoring Systems, Integration of ICT & Semantic Web Technologies in e-Learning and Educational Data Mining. She has published more than 50 papers in international conferences and journals. She is a member of IEEE and the Artificial Intelligence in Education (AIED) Society.

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