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2023 | OriginalPaper | Buchkapitel

2. Künstliche Intelligenz in der Fertigung

verfasst von : Tin-Chih Toly Chen, Yi-Chi Wang

Erschienen in: Künstliche Intelligenz und schlanke Produktion

Verlag: Springer International Publishing

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Zusammenfassung

Die Definition von künstlicher Intelligenz (KI) ist unbestimmt. Mit der Entwicklung von Computer-, Netzwerk- und Sensortechnologien wird sich die Bedeutung von KI weiterhin ändern [1]. Perico und Mattioli [2] haben KI-Technologien in zwei Kategorien unterteilt:
  • Datengetriebene KI (d. h., gehirnähnliches Lernen), einschließlich künstlicher neuronaler Netzwerke, maschinelles Lernen (überwachtes Lernen, unüberwachtes Lernen, statistisches Lernen), evolutionäres Rechnen, unscharfe Logik usw. Datengetriebene KI wird oft im Kontext von Mustererkennung, Klassifizierung, Clustering oder Wahrnehmung verwendet.
  • Symbolische KI (d. h., Modellierung und Wissensschlussfolgerung), einschließlich Ontologie, semantische Graphen, wissensbasierte Systeme, Schlussfolgerungen usw. Multikriterielle Entscheidungsfindung, Produktionsplanung und Auftragsplanung sind typische Anwendungen dieser Kategorie.

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Metadaten
Titel
Künstliche Intelligenz in der Fertigung
verfasst von
Tin-Chih Toly Chen
Yi-Chi Wang
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-44280-3_2

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