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Learning Systems: From Theory to Practice

  • Book
  • © 2018

Overview

Editors:
  1. Vassil Sgurev

    1. Bulgarian Academy of Sciences, Institute of Information and Communication Technology, Sofia, Bulgaria

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  2. Vincenzo Piuri

    1. Department of Computer Science, Università degli Studi di Milano, Crema, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Vladimir Jotsov

    1. University of Library Studies and Information Technologies, Sofia, Bulgaria

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  • Presents recent advances in fuzzy sets and computing with words
  • Provides a comprehensive overview of research trends and practical use of computing with words technology
  • Covers theory as well as applications

Part of the book series: Studies in Computational Intelligence (SCI, volume 756)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xii
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  2. From von Neumann Architecture and Atanasoffs ABC to Neuro-Morphic Computation and Kasabov’s NeuCube: Principles and Implementations

    • Neelava Sengupta, Josafath Israel Espinosa Ramos, Enmei Tu, Stefan Marks, Nathan Scott, Jakub Weclawski et al.
    Pages 1-28

  3. Applications of Computational Intelligence in Industrial and Environmental Scenarios

    • Ruggero Donida Labati, Angelo Genovese, Enrique Muñoz, Vincenzo Piuri, Fabio Scotti
    Pages 29-46

  4. Real, Imaginary and Complex Sets

    • Vassil Sgurev
    Pages 47-59

  5. Intercriteria Analysis over Patterns

    • Krassimir Atanassov
    Pages 61-71

  6. From Primary to Conventional Science

    • Boris Stilman
    Pages 73-116

  7. Intelligent Two-Level Optimization and Model Predictive Control of Degrading Plants

    • Mincho Hadjiski, Alexandra Grancharova, Kosta Boshnakov
    Pages 117-134

  8. Collaborative Clustering: New Perspective to Rank Factor Granules

    • Shihu Liu, Xiaozhou Chen, Patrick S. P. Wang
    Pages 135-148

  9. Learning Through Constraint Applications

    • Vladimir Jotsov, Pepa Petrova, Evtim Iliev
    Pages 149-178

  10. Autonomous Flight Control and Precise Gestural Positioning of a Small Quadrotor

    • Nikola G. Shakev, Sevil A. Ahmed, Andon V. Topalov, Vasil L. Popov, Kostadin B. Shiev
    Pages 179-197

  11. Introduction to the Theory of Randomized Machine Learning

    • Yuri S. Popkov, Yuri A. Dubnov, Alexey Y. Popkov
    Pages 199-220

  12. Grid-Type Fuzzy Models for Performance Evaluation and Condition Monitoring of Photovoltaic Systems

    • Gancho Vachkov, Valentin Stoyanov
    Pages 221-250

  13. Intelligent Control of Uncertain Switched Nonlinear Plants: NFG Optimum Control Synthesis via Switched Fuzzy Time-Delay Systems

    • Georgi M. Dimirovski, Jinming Luo, Huakuo Li
    Pages 251-266

  14. Multidimensional Intuitionistic Fuzzy Quantifiers and Level Operators

    • Krassimir Atanassov, Ivan Georgiev, Eulalia Szmidt, Janusz Kacprzyk
    Pages 267-280

  15. Data Processing and Harmonization for Intelligent Transportation Systems: An Application Scenario on Highway Traffic Flows

    • Paulo Figueiras, Guilherme Guerreiro, Ricardo Silva, Ruben Costa, Ricardo Jardim-Gonçalves
    Pages 281-301
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Keywords

About this book

By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations in advanced intelligent technologies and systems. From intelligent control and intuitionistic fuzzy quantifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent products and systems.

Editors and Affiliations

  • Bulgarian Academy of Sciences, Institute of Information and Communication Technology, Sofia, Bulgaria

    Vassil Sgurev

  • Department of Computer Science, Università degli Studi di Milano, Crema, Italy

    Vincenzo Piuri

  • University of Library Studies and Information Technologies, Sofia, Bulgaria

    Vladimir Jotsov

Bibliographic Information

  • Book Title: Learning Systems: From Theory to Practice

  • Editors: Vassil Sgurev, Vincenzo Piuri, Vladimir Jotsov

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-75181-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-75180-1Published: 13 April 2018

  • Softcover ISBN: 978-3-030-09164-4Published: 24 January 2019

  • eBook ISBN: 978-3-319-75181-8Published: 05 April 2018

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 301

  • Topics: Computational Intelligence, Artificial Intelligence

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