Presentation Profile
Machine Learning for Spectroscopy Calibration
Currently Scheduled: 10/16/2024 - 9:30 AM - 9:55 AM
Room: Orchid
Main Author
Brian Rohrback - Infometrix, Inc.
Abstract:
Artificial intelligence and machine learning are inevitable results of the work driven by the consumer side of our economy. The question is not whether it will impact refining and chemical plant operation, but how soon and how long it will take for the benefits to outstrip the costs. The goal is to provide practical guidance for making progress in this complicated set of fields. Machine Learning is critical to interpreting output from any type of spectrometer and improves the flow of information providing a significant leg up for process understanding. The key is to fully automate spectroscopic calibration.
