Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
570123 | Environmental Modelling & Software | 2007 | 9 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
O. Giustolisi, A. Doglioni, D.A. Savic, B.W. Webb,