PUMA publications for /user/bertapi/machine-learningWed Dec 15 14:15:17 CET 2021PAMM1e202100225Data-Driven Stress Prediction for Thermoplastic Materials212021ffnn lstm machine-learning myown plasticity stress-strain-curve Abstract The present study applies two different machine learning (ML) algorithms to predict the stress-strain mapping for the non-linear behaviour of thermoplastic materials: a Long Short-Term Memory (LSTM) algorithm and a Feed-Forward Neural Network (FFNN). The approach of this work requires the generation of the stress-strain curve for specific material parameters. The training data are obtained from the von Mises material law and the Ramberg-Osgood equation. The four combinations of ML algorithms with constitutive laws are evaluated and show a good agreement with numerical data.