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Dec 25, 2024
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NE 579 - Empirical Models for Monitoring and Diagnostics3 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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