Model maintenance can be defined as the on-going servicing of (primarily) multivariate calibration and fault detection models in order to preserve their predictive abilities. It is required because of changes to either the sample matrices or the instrument response. The goal of model maintenance is to sustain or improve models over time and changing conditions with the least amount of cost and effort. This course presents a roadmap for determining when model maintenance is required, the probable source of the response variations, and the appropriate approaches for achieving it. Hands-on exercises will be done using PLS_Toolbox/Solo.
Price
$395.00
3 lectures, 3 hours 8 minutes