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Band 513

Advances in Computational Intelligence Systems Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.09.2016

Abbildungen

IX, 508 p. 169 illus., 100 illus. in color.

Herausgeber Plamen Angelov + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.09.2016

Abbildungen

IX, 508 p. 169 illus., 100 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

508

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-46561-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Computational Intelligence Systems
  • Produktbild: Advances in Computational Intelligence Systems
  • Search and Optimisation (SO).- Modelling and Simulation (MS).- Analysis and Detection (AD).- Cognition and Control (CC).- Learning and Evolution (LE).- Clustering and Regression (CR).