A multi-model approach to analysis of environmental phenomena
| Autor: | Dragan Savic, Angelo Doglioni, Orazio Giustolisi, B. W. Webb |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Evolutionary Polynomial Regression
Data-Driven Modeling Environmental Engineering Series (mathematics) Computer science Ecological Modeling Model selection Data reconstruction Evolutionary polynomial regression Missing data computer.software_genre Evolutionary computation Data modeling Evolutionary Computing Water Temperature Environmental Modeling Physical phenomena Data mining computer Software |
| Zdroj: | Environmental Modelling & Software. 22:674-682 |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2005.12.026 |
| Popis: | A data-driven methodology named Evolutionary Polynomial Regression is introduced. EPR permits the symbolic and multi-purpose modelling of physical phenomena, through the simultaneous solution of a number of models. Multi-purpose modelling or ''multi-modelling'' enables the user to make a different choice according to what the model is aiming at: (a) the scientific knowledge based on data modelling, (b) on-line and off-line forecasting, (c) data augmentation (i.e. infilling of missing data in time series) and so on. This allows a more robust model selection phase. A case study based on the application of Evolutionary Polynomial Regression to the study of the thermal behaviour of a stream is presented. |
| Databáze: | OpenAIRE |
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