Mustererkennung

Glossar Seite

Die Mustererkennung ist ein Fachgebiet der künstlichen Intelligenz und des maschinellen Lernens, das sich mit der Identifizierung und Analyse von Mustern oder Regelmäßigkeiten in Daten befasst. Es geht um die Entwicklung von Algorithmen und Modellen, die Muster in verschiedenen Datentypen erkennen und klassifizieren können, z. B. Bilder, Texte, Töne oder numerische Daten. Mustererkennungstechniken werden häufig in Anwendungen wie Bilderkennung, Spracherkennung, Data Mining und prädiktive Analytik eingesetzt. Ziel der Mustererkennung ist es, Computer in die Lage zu versetzen, Muster automatisch zu erkennen und zu verstehen, was zu einer automatisierten Entscheidungsfindung und intelligenten Datenanalyse führt.

https://www.arm.com/glossary/pattern-recognition#:~:text=Pattern%20recognition%20is%20a%20data,familiar%20patterns%20quickly%20and%20accurately.

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