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. Multipurpose 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.
|Titolo:||A multi-model approach to analysis of environmental phenomena|
|Data di pubblicazione:||2007|
|Digital Object Identifier (DOI):||10.1016/j.envsoft.2005.12.026|
|Appare nelle tipologie:||1.1 Articolo in rivista|