Overview
- Presents research works in neural networks, machine learning, and fuzzy systems
- Provides original outcomes presented at ICNC-FSKD 2021 held in Guiyang, China
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 89)
Included in the following conference series:
Conference proceedings info: ICNC-FSKD 2021.
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Table of contents (146 papers)
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Natural Computation: Theory and Algorithms
Other volumes
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Keywords
About this book
This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Book Subtitle: Proceedings of the ICNC-FSKD 2021
Editors: Quan Xie, Liang Zhao, Kenli Li, Anupam Yadav, Lipo Wang
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-89698-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-89697-3Published: 05 January 2022
eBook ISBN: 978-3-030-89698-0Published: 04 January 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XXIV, 1439
Number of Illustrations: 237 b/w illustrations, 475 illustrations in colour