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University of Tennessee, Knoxville    
 
    
 
  Dec 16, 2017
 
2011-2012 Graduate Catalog [ARCHIVED CATALOG]

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NE 579 - Empirical Models for Monitoring and Diagnostics

3 Credit Hours
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 optimization, and uncertainty analysis will be taught.
(RE) Prerequisite(s): Statistics 571.



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