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Papers matching “training parameter optimization” 19

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Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks
2021 The International Journal of Advanced Manufacturing Technology article Engineering Injection Molding Process and Properties Open access cited by 1 patent

Yannik Lockner, Christian Hopmann

97

citations
Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence
2021 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

210

citations
DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions
2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access

Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske

58

citations
Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials
2021 International Journal for Numerical Methods in Engineering article Engineering Elasticity and Material Modeling Open access

Mauricio Fernández, Felix Fritzen, Oliver Weeger

60

citations
Transfer learning with artificial neural networks between injection molding processes and different polymer materials
2021 Journal of Manufacturing Processes article Engineering Injection Molding Process and Properties cited by 1 patent

Yannik Lockner, Christian Hopmann, Weibo Zhao

93

citations
Learning multiple defaults for machine learning algorithms
2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access cited by 2 patents

Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl

28

citations
Machine-Learning-Based Control of Perturbed and Heated Channel Flows
2021 Lecture notes in computer science conference-paper Engineering Lattice Boltzmann Simulation Studies Open access

Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann

4

citations
Learning a preconditioner to accelerate compressed sensing reconstructions in MRI
2021 Magnetic Resonance in Medicine article Medicine Advanced MRI Techniques and Applications Open access

Kirsten Koolstra, Rob Remis

7

citations
Prediction of Specific Volume of Polypropylene at High Cooling Rates by Artificial Neural Networks
2021 Industrial & Engineering Chemistry Research article Materials Science Machine Learning in Materials Science

Jian Wang, Christian Hopmann, Ben Liu, Yannik Lockner

3

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2021 IEEE Access article Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

32

citations
Distributed DNN Power Allocation in Cell-Free Massive MIMO
2021 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Engineering Advanced MIMO Systems Optimization

Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova

7

citations
Layerwise learning for quantum neural networks
2021 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 2 patents

Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib

320

citations
Automatic Learning of Subword Dependent Model Scales
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney

0

citations
COVID-19’s impact on the future of digital health technology in primary care
2021 Family Practice article Medicine Telemedicine and Telehealth Implementation Open access

Nicoline E van Hattem, Anna V Silven, Tobias Nicolaas Bonten, Niels Henrik Chavannes

27

citations
Global fine resolution mapping of ozone metrics through explainable machine learning
2021 conference-abstract Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Scarlet Stadtler, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Ribana Roscher, +2 more

8

citations
Predictors for extubation failure in COVID-19 patients using a machine learning approach
2021 Critical Care article Medicine Respiratory Support and Mechanisms Open access cited by 1 patent

Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin, Robbert C. A. Lalisang, Diederik A M P J Gommers, +91 more

39

citations
Shot noise limited soft x-ray absorption spectroscopy in solution at a SASE-FEL using a transmission grating beam splitter
2021 Structural Dynamics article Physics and Astronomy X-ray Spectroscopy and Fluorescence Analysis Open access

Robin Y. Engel, Maria Ekimova, Piter Sybren Miedema, Carlo Kleine, Jan Ludwig, Miguel Ochmann, +14 more

19

citations
Diagnosing Power Module Degradation with High-Resolution, Data-Driven Methods
2021 IEEE Energy Conversion Congress and Exposition (ECCE) conference-paper Engineering Silicon Carbide Semiconductor Technologies

Christoph H. van der Broeck, Timothy A. Polom, Rik W. De Doncker

9

citations
Fehlererkennung und Isolierung in Gleichstrom-Verteilnetzen
2021 RWTH Publications (RWTH Aachen) book Engineering Power Systems Fault Detection Open access

Ting Wang

2

citations

19 results