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Titolo: | Advances in Computational Intelligence Systems [[electronic resource] ] : Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK / / edited by Plamen Angelov, Alexander Gegov, Chrisina Jayne, Qiang Shen |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (493 p.) |
Disciplina: | 620 |
Soggetto topico: | Computational intelligence |
Optical data processing | |
Control engineering | |
Artificial intelligence | |
Computational Intelligence | |
Image Processing and Computer Vision | |
Control and Systems Theory | |
Artificial Intelligence | |
Persona (resp. second.): | AngelovPlamen |
GegovAlexander | |
JayneChrisina | |
ShenQiang | |
Note generali: | Description based upon print version of record. |
Nota di contenuto: | Search and Optimisation (SO) -- Modelling and Simulation (MS) -- Analysis and Detection (AD) -- Cognition and Control (CC) -- Learning and Evolution (LE) -- Clustering and Regression (CR). |
Sommario/riassunto: | The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence. |
Titolo autorizzato: | Advances in Computational Intelligence Systems |
ISBN: | 3-319-46562-7 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910254160803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |