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A new reliability-based data-driven approach to simulation-based models
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jiménez, Jacobo Ayensa Doweidar, Mohamed Hamdy Castellano, Manuel Doblaré |
| Copyright Year | 2017 |
| Abstract | Data Science has burst into simulation-based en-gineering sciences with an impressive impulse. However, data are never uncertainty-free and a suitable approach is needed to face data measurement errors and their intrinsic randomness in problems with well-established physical constraints. We face this problem by hybridizing a standard mathematical modeling approach with a new data-driven solver accounting for the phenomenological part of the problem and able to handle the uncertainty of input data in an intelligent way. The reliability-based data-driven procedure performance is evaluated in a simple but illustrative unidimensional problem showing, in contrast with other data-driven solvers, better convergence, higher accuracy, clearer interpretation and major flexibility. |
| Starting Page | 23 |
| Ending Page | 26 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://upcommons.upc.edu/bitstream/handle/2117/107840/A_new_reliability-based_data.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
