Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 185,57
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Anbieter: moluna, Greven, Deutschland
EUR 243,35
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Shows how to analyze, in great detail, the industrial operational status through spatio-temporal representation learningCovers how to establish robust monitoring models for industrial processes with irregular dataIndicates how to a.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc Jul 2025, 2025
ISBN 10: 044333675X ISBN 13: 9780443336751
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes introduces learning, modeling, and monitoring methods for highly complex dynamic processes with irregular data. Two classes of robust modeling methods are highlighted, including low-rank characteristic of matrices and heavy-tailed characteristic of distributions. In this class, the missing data, ambient noise, and outlier problems are solved using low-rank matrix complement for monitoring model development. Secondly, the Laplace distribution is explored, which is adopted to measure the process uncertainty to develop robust monitoring models.The book not only discusses the complex models but also their real-world applications in industry.