Catalog Entries

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NE 579 - Empir Models/Monitor Diagnost
Development and application of advanced statistical and artificial intelligence based techniques for process and equipment monitoring and diagnostics. Linear, non-linear, parametric, and non-parametric techniques including ridge regression, principal component analysis, kernel regression. Data preprocessing, model opitmization, and uncertainty analysis will be taught. Cross-listed: Same as Industrial Engineering 579.) 3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Nuclear Engineering Department

NE 579 - Empir Models/Monitor Diagnost

Development and application of advanced statistical and artificial intelligence based techniques for process and equipment monitoring and diagnostics. Linear, non-linear, parametric, and non-parametric techniques including ridge regression, principal component analysis, kernel regression. Data preprocessing, model opitmization, and uncertainty analysis will be taught.
Cross-listed: Same as Industrial Engineering 579.)

3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Lecture

Nuclear Engineering Department

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Catalog Entries

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Catalog Entries		Fall Sem 2020 06-May-2024