LMNTOOL–Toolbox zum automatischen Trainieren lokaler Modellnetze B Hartmann, T Ebert, T Fischer, J Belz, G Kampmann, O Nelles Proceedings of the 22. Workshop Computational Intelligence, 341-355, 2014 | 44 | 2014 |
Extended deterministic local search algorithm for maximin latin hypercube designs T Ebert, T Fischer, J Belz, TO Heinz, G Kampmann, O Nelles 2015 IEEE Symposium Series on Computational Intelligence, 375-382, 2015 | 34 | 2015 |
Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hulls T Ebert, J Belz, O Nelles 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014 | 32 | 2014 |
Automatic modeling with local model networks for benchmark processes J Belz, T Münker, TO Heinz, G Kampmann, O Nelles IFAC-PapersOnLine 50 (1), 470-475, 2017 | 23 | 2017 |
Development, validation, and application of an optimization scheme for impellers of centrifugal fans using computational fluid dynamics-trained metamodels K Bamberger, T Carolus, J Belz, O Nelles Journal of Turbomachinery 142 (11), 111005, 2020 | 16 | 2020 |
Aerodynamic optimization of centrifugal fans using CFD-trained meta-models K Bamberger, J Belz, T Carolus, O Nelles 16th International Symposium on Transport Phenomena and Dynamics of Rotating …, 2016 | 12 | 2016 |
Model extension for model based MIMO control in HVAC systems D Schwingshackl, J Rehrl, M Horn, J Belz, O Nelles Journal of Building Engineering 11, 224-229, 2017 | 10 | 2017 |
Proposal for a function generator and extrapolation analysis J Belz, O Nelles 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 10 | 2015 |
Improved incorporation of prior knowledge for regularized FIR model identification T Münker, J Belz, O Nelles 2018 Annual American Control Conference (ACC), 1090-1095, 2018 | 9 | 2018 |
Order determination and input selection with local model networks J Belz, O Nelles, D Schwingshackl, J Rehrl, M Horn IFAC-PapersOnLine 50 (1), 7327-7332, 2017 | 7 | 2017 |
Input Selection Using Local Model Network Trees J Belz, O Nelles IFAC 19th World Congress, Cape Town, 2014 | 7 | 2014 |
Order of experimentation for metamodeling tasks J Belz, K Bamberger, O Nelles 2016 International Joint Conference on Neural Networks (IJCNN), 4843-4849, 2016 | 6 | 2016 |
Goal-oriented active learning with local model networks J Belz, K Bamberger, O Nelles, T Carolus Computational and Experimental Studies, 167, 2018 | 4 | 2018 |
Automated Order Determination Strategies for Nonlinear Dynamic Models J Belz, TO Heinz, O Nelles IEEE Symposium on Computational Intelligence in Control and Automation (CICA), 2016 | 4 | 2016 |
Detektion von Extrapolation T Ebert, J Belz, O Nelles Proceedings of the 24. Workshop on Computational Intelligence, Dortmund …, 2014 | 4 | 2014 |
Fighting the curse of dimensionality with local model networks J Belz at-Automatisierungstechnik 67 (10), 889-890, 2019 | 3 | 2019 |
Function Generator Application: Shall Corners be Measured? J Belz, O Nelles Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27 …, 2015 | 3* | 2015 |
Normalized L1 regularization for axis-oblique tree construction algorithms J Belz, O Nelles 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 2 | 2017 |
Design of experiments–combining linear and nonlinear inputs TO Heinz, J Belz, O Nelles PROCEEDINGS 27. WORKSHOP COMPUTATIONAL INTELLIGENCE, 211, 0 | 2 | |
Lokale Modellnetze zur Selektion von Einflussgrößen J Belz, O Nelles Proceedings 23. Workshop Computational Intelligence 46, 265--280, 2013 | 1 | 2013 |