Explore the concept of fusing calibration models in this 36-minute webinar. Learn how to address quality control challenges when managing multiple PLS or ANN calibration models within an organization. Discover a simple tool that automatically determines the optimal method for merging numerous models into fewer, more manageable ones. Understand the trade-offs between simplicity and prediction error, allowing you to choose the best compromise for your specific use case. Delve into topics such as calibration model maintenance, issues with calibration models, and the benefits of combining models for improved robustness and reduced prediction errors. Gain insights from related research papers on calibration model fusing and maintenance techniques.
Overview
Syllabus
Intro
Maintaining calibration models
Issues with calibration models
Calibration model maintenance
Combining calibration models
Clusterfun
Results
Taught by
Chemometrics & Machine Learning in Copenhagen