| Title: | Numerical assessment of metamodelling strategies in computationally intensive optimization |
| Authors: | Razavi, S., B.A. Tolson and D.H. Burn |
| Year: | 2012 |
| Journal: | Environmental Modelling & Software |
| Volume (Issue): | 34 |
| Pages: | 67-86 |
| Article ID: | |
| DOI: | 10.1016/j.envsoft.2011.09.010 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | model and/or data comparison |
| Watershed Description: | Cannonsville Reservoir in southeast New York, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Metamodelling, Optimization, Computationally intensive simulation, models, Neural networks, Kriging, Radial basis functions |