Druck auf Anfrage Neuware - Printed after ordering - Dieser Tagungsband enth�lt die Beitr�ge des 32. Workshops 'Computational Intelligence' des Fachausschusses 5.14 der VDI/VDE-Gesellschaft f�r Mess- und Automatisierungstechnik (GMA) der vom 1.12. - 2.12.2022 in Berlin stattfand. Die Schwerpunkte sind Methoden, Anwendungen und Tools f�r: - Fuzzy-Systeme - Deep Learning - Machine Learning. sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. This conference volume contains the contributions of the 32nd workshop 'Computational Intelligence' of the technical committee 5.14 of the VDI/VDE-Gesellschaft f�r Mess- und Automatisierungstechnik (GMA) which took place from 1.12. - 2.12.2022 in Berlin. The focus will be on methods, applications, and tools for: - Fuzzy systems - Deep Learning - Machine Learning - Data Mining. as well as method comparison based on industrial and benchmark problems.

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Bibliographic Details

Title: Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022
Publisher: Karlsruher Institut F�r Technologie
Publication Date: 2022
Language: German
ISBN 10: 3731512394
ISBN 13: 9783731512394
Binding: Taschenbuch
Condition: Neu
Dimensions: 210 millimeters width by 148 millimeters height by 18 millimeters depth
Weight: 410 grams

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Dieser Tagungsband enth�lt die Beitr�ge des 32. Workshops „Computational Intelligence“ des Fachausschusses 5.14 der VDI/VDE-Gesellschaft f�r Mess- und Automatisierungstechnik (GMA) der vom 1.12. – 2.12.2022 in Berlin stattfand. Die Schwerpunkte sind Methoden, Anwendungen und Tools f�r - Fuzzy-Systeme - Deep Learning - Machine Learning sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - This conference volume contains the contributions of the 32nd workshop "Computational Intelligence" of the technical committee 5.14 of the VDI/VDE-Gesellschaft f�r Mess- und Automatisierungstechnik (GMA) which took place from 1.12. - 2.12.2022 in Berlin. The focus will be on methods, applications, and tools for - Fuzzy systems - Deep Learning - Machine Learning - Data Mining as well as method comparison based on industrial and benchmark problems.

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