Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data

168.29 LEI

186.99 LEI

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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.

Details

ISBN: 9780443336751

Sold By: Prior Books Total Items: 43792

Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data

168.29 LEI

186.99 LEI

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