Fakultät

Josef-Ressel Zentrum für Symbolische Regression

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, 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
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
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
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