Overview
- Discusses recent advances in natural computation, fuzzy systems, and knowledge discovery
- Covers proceedings of the 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery
- Written by experts in the field
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 153)
Included in the following conference series:
Conference proceedings info: ICNC-FSKD 2022.
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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 is 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 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.
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Keywords
Table of contents (162 papers)
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Deep Learning (34)
Other volumes
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Book Subtitle: Proceedings of the ICNC-FSKD 2022
Editors: Ning Xiong, Maozhen Li, Kenli Li, Zheng Xiao, Longlong Liao, Lipo Wang
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-031-20738-9
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 2023
Softcover ISBN: 978-3-031-20737-2Published: 31 January 2023
eBook ISBN: 978-3-031-20738-9Published: 29 January 2023
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XXVII, 1508
Number of Illustrations: 196 b/w illustrations, 454 illustrations in colour