Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

This article describes the methods and approaches used by us to solve the problem of a high error in the determination of a component with a low concentration in a gas mixture. The approaches based on the modification of the machine learning model were considered, the approach to the generation of the training sample was changed, an iterative method for increasing the accuracy of the model results was proposed.