Papers matching “training parameter optimization” 199
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Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations -
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes2025 Applied Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms Open access cited by 1 patent
Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert Heinrich Schmitt, +1 more
3citations -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations
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A simultaneous approach for training neural differential-algebraic systems of equations2026 Computational Optimization and Applications article Physics and Astronomy Model Reduction and Neural Networks Open access
Laurens R. Lueg, Victor Manuel Cunha Alves, Daniel Schicksnus, John R. Kitchin, Carl D. Laird, Lorenz T. Biegler
2citations -
Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes2024 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Gaussian Processes and Bayesian Inference
Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert Heinrich Schmitt, Jürgen Beyerer
1citations -
Bayesian optimization for extreme high-speed laser material deposition2025 Journal of Laser Applications article Engineering Additive Manufacturing Materials and Processes Open access
Max Gero Zimmermann, Johanna Menn, Viktor Glushych, Thomas Schopphoven, Wilhelm Meiners, Sebastian Trimpe, +1 more
1citations -
Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence2021 Energy storage materials article Engineering Advanced Battery Technologies Research Open access cited by 2 patents
Weihan Li, Iskender Demir, Decheng Cao, Dominik Jöst, Florian Ringbeck, Dirk Uwe Sauer
210citations -
DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access
Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske
58citations -
AI-based spatially resolved parameter prediction in laser metal deposition for increased process stability2024 Journal of Laser Applications article Engineering Additive Manufacturing Materials and Processes Open access
Max Gero Zimmermann, Johannes Lengler, Viktor Glushych, Thomas Schopphoven, Wilhelm Meiners, C. Haefner, +1 more
3citations -
Mitigating undersampling errors in MR fingerprinting by sequence optimization2022 Magnetic Resonance in Medicine article Medicine Advanced MRI Techniques and Applications Open access
David Heesterbeek, Kirsten Koolstra, Matthias J.P. van Osch, Martin B. van Gijzen, Franciscus M. Vos, Martijn A. Nagtegaal
19citations