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Advances in Hybridization of Intelligent Methods

Models, Systems and Applications

  • Book
  • © 2018

Overview

  • Presents hybrids of intelligent methods involving models, systems, and applications
  • Provides 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 systems, and image processing.
  • 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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 85)

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Table of contents (7 chapters)

Keywords

About this book

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.


Editors and Affiliations

  • School of Engineering, Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis Hatzilygeroudis

  • The Faculty of Engineering, Environment and Computing, School of Computing, Coventry University, Coventry, United Kingdom

    Vasile Palade

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