Name
Title | ||
|---|---|---|
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. |
Abstract | ||
|---|---|---|
•Application of fuzzy and symbolic regression modeling for friction systems.•Enhanced fuzzy modeling algorithm for datasets with many binary and noisy variables.•Multi-objective symbolic regression to optimize complexity and prediction errors.•Comparison of fuzzy and symbolic regression models with state-of-the-art techniques. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.04.048 | Applied Soft Computing |
Keywords | Field | DocType |
Tribological systems,Robust fuzzy modeling,Generalized Takagi-Sugeno fuzzy systems,Symbolic regression,Multi-objective genetic programming | Mathematical optimization,Regression,Linear model,Regression analysis,Fuzzy logic,Genetic programming,Batch processing,Dimensioning,Symbolic regression,Mathematics | Journal |
Volume | ISSN | Citations |
69 | 1568-4946 | 0 |
PageRank | References | Authors |
0.34 | 23 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel Kronberger | 1 | 192 | 25.40 |
| Michael Kommenda | 2 | 0 | 0.34 |
| Edwin Lughofer | 3 | 1940 | 99.72 |
| Susanne Saminger-Platz | 4 | 76 | 10.94 |
| Andreas Promberger | 5 | 3 | 0.78 |
| Falk Nickel | 6 | 3 | 0.78 |
| Stephan M. Winkler | 7 | 140 | 22.90 |
| Michael Affenzeller | 8 | 339 | 62.47 |