Isbn: 9780443336751 - Spatio-temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data (7 results)

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: 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.

Condition: New.

Taschenbuch. Condition: 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.…

Paperback. Condition: new. Paperback. Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.