Projekt

Josef-Ressel Zentrum für Symbolische Regression

Projekt

Jan. 2018 - dato
2019
F. Bachinger, G. K. Kronberger - Management von lernfähigen Vorhersage-Modellen für Industrie-Anwendungen - Coming Soon - Tagungsband - 2019, Linz, Österreich, 2019, pp. 253-259 mehr
2019
W. Roland, M. Kommenda, C. Marschik, J. Miethlinger - Extended Regression Models for Predicting the Pumping Capability and Viscous Dissipation of Two-Dimensional Flows in Single-Screw Extrusion - Polymers, Vol. 11, No. 2, 2019 mehr
2019
G. K. Kronberger, S. Scheidel, C. Haider, M. Kommenda, M. Kordon - Integration of Physical Knowledge in Empirical Models - A New Approach to Regression Analysis - 8th International Symposium on Development Methodology, Wiesbaden, Deutschland, 2019, pp. 1-9 mehr
2019
G. K. Kronberger, L. Kammerer, B. Burlacu, S. M. Winkler, M. Kommenda, M. Affenzeller - Cluster Analysis of a Symbolic Regression Search Space in Genetic Programming in Theory and Practice XVI (Contributions to Book: Part/Chapter/Section 5), (Editors: W. Banzhaf, L. Spector, L. Sheneman) - Springer… mehr
2019
M. Kommenda, B. Burlacu, G. K. Kronberger, M. Affenzeller - Parameter identification for symbolic regression using nonlinear least squares - Genetic Programming and Evolvable Machines, 2019, pp. 471-501 mehr
2019
S. Prieschl, D. Girardi, G. K. Kronberger - Using Ontologies to Express Prior Knowledge for Genetic Programming - Machine Learning and Knowledge Extraction. CD-MAKE 2019., Canterbury, Vereinigtes Königreich von Großbritannien und Nordirland, 2019, pp. 362-376 mehr
2018
F. Bachinger, J. Zenisek, L. Kammerer, M. Stimpfl, G. K. Kronberger - Performance of Industrial Sensor Data Persistence in Data Vault - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 226-233 mehr
2018
G. K. Kronberger, M. Kommenda, A. Promberger, F. Nickel - Predicting friction system performance with symbolic regression and genetic programming with factor variables - GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, Japan, 2018, pp. 1278-1285 mehr