Publications

Johannes Gerritzen, Andreas Hornig, Peter Winkler, und Maik Gude. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1252--1259, European Society for Composite Materials (ESCM), 02.07.2024. [PUMA: Convolutional Direct FIS_scads Fiber Machine Strain area_architectures dependency, identification, learning, networks, neural parameter plastics rate reinforced topic_engineering yaff] URL

Martin Waltz, und Ostap Okhrin. Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (2023)165:634--653, Elsevier Science B.V., 15.06.2023. [PUMA: topic_engineering Algorithms, Autonomous COLREG, Computer, Deep FIS_scads Networks, Neural Psychology, Recurrency, Reinforcement, Reward Ships, learning, reinforcement surface vehicle,]

Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, und Ivo F. Sbalzarini. Learning computable models from data. 1--6, 2021. [PUMA: Differential ENO-WENO, FIS_scads Neural Surrogate modeling networks, operators,]