Prediction of rheological parameters of polymers, using gradient boosting algorithm CatBoost

Abstract

The article deals with the problem of determining the rheological parameters of polymers from stress relaxation curves using the CatBoost machine learning algorithm. The model is trained on theoretical curves constructed using the non-linear Maxwell-Gurevich equation. A comparison is made with other methods, including the classical algorithm, non-linear optimization methods and artificial neural networks.