Advances in Computational Intelligence Systems : Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK /

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Pred...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ju, Zhaojie (Editor), Yang, Longzhi (Editor), Yang, Chenguang (Editor), Gegov, Alexander (Editor), Zhou, Dalin (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Advances in Intelligent Systems and Computing, 1043
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data- and Model-Driven Applications. All chapters are based on peer-reviewed contributions presented at the 19th Annual UK Workshop on Computational Intelligence, held in Portsmouth, UK, on 4-6 September 2019. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.
Physical Description:1 online resource (XV, 556 pages 226 illustrations, 159 illustrations in color.)
ISBN:9783030299330
ISSN:2194-5365 ;
DOI:10.1007/978-3-030-29933-0