1.

Record Nr.

UNINA9910483467203321

Titolo

Advances in Computational Intelligence Systems : Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK / / edited by Zhaojie Ju, Longzhi Yang, Chenguang Yang, Alexander Gegov, Dalin Zhou

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-29933-3

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (553 pages)

Collana

Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1043

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Computational Intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Fuzzy Systems -- Intelligence in Roobtics -- Deep Learning Approaches -- Optimisation and Classification -- Detection, Inference and Prediction -- Hybrid Methods -- Emerging Intelligence -- Intelligent Healthcare -- Engineering Data- and Model-Driven Applications.

Sommario/riassunto

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.