USE OF GENETIC ALGORITHMS TO DETERMINE A MODEL TO IDENTITY SAMPLE PROPERTIES BASED ON RAMAN SPECTRA

摘要

Techniques are disclosed for using a genetic algorithm to identify a processing pipeline that transforms spectra into a form usable to generate predicted characteristics of corresponding samples. The genetic algorithm is used to generate and evaluate multiple candidate solutions specifying various pre-processing and machine-learning-processing configurations. The processing pipeline is defined based on the candidate solutions.