Abstract | ||
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The paper presents an early-stage research which is aimed towards the development of comprehensive conceptual and technological framework for ensemble-based simulation of complex systems. The concept of multi-layer ensemble is presented as a background for further development of the framework to cover different kind of ensembles: ensemble of system's state, data ensemble, and models ensemble. Formal description of a hybrid model is provided as a core concept for ensemble-based complex system simulation. The example of water level forecasting application is used to show selected ensemble classes covered by the proposed framework. |
Year | DOI | Venue |
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2015 | 10.1016/j.procs.2015.05.280 | Procedia Computer Science |
Keywords | Field | DocType |
Ensemble,Complex system simulation,Assimilation,Diversity,Workflow | Complex system,Data mining,Assimilation (phonology),Computer science,Formal description,Artificial intelligence,Workflow,Machine learning | Conference |
Volume | ISSN | Citations |
51 | 1877-0509 | 6 |
PageRank | References | Authors |
0.85 | 7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sergey V. Kovalchuk | 1 | 129 | 21.14 |
Alexander Boukhanovsky | 2 | 127 | 15.02 |