The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems

Ecological Modelling

Volumn 245, Issue , 2012, Pages 136-165

  Čerepnalkoski, Darko ^a   Taškova, Katerina ^a   Todorovski, Ljupčo ^c   Atanasova, NataŠa ^d,e   Džeroski, SaŠo ^a,b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins   (Slovenia)

^c UNIVERSITY OF LJUBLJANA   (Slovenia)

^d UNIVERSITY OF ALGARVE   (Portugal)

^e International Center for Coastal Ecohydrology   (Portugal)

Author keywords

Aquatic ecosystems; Dynamical systems; Equation discovery; Meta heuristic optimization; Parameter estimation; Process based modeling

Indexed keywords

AQUATIC ECOSYSTEM; AUTOMATED MODELING; COMPARATIVE STUDIES; CONCEPTUAL MODEL; CONSTANT PARAMETERS; DOMAIN KNOWLEDGE; EQUATION DISCOVERY; GLOBAL OPTIMIZATION METHOD; METAHEURISTIC; MODEL ERRORS; MODEL STRUCTURE SELECTION; NUMERICAL PARAMETERS; PARAMETER ESTIMATION METHOD; PARAMETER FITTING; PROCESS-BASED MODELING; PROCESS-BASED MODELS; STRUCTURE IDENTIFICATION; SUBTASKS;

DYNAMICAL SYSTEMS; ECOSYSTEMS; GLOBAL OPTIMIZATION; HEURISTIC ALGORITHMS; PARAMETER ESTIMATION; STRUCTURE (COMPOSITION);

MODEL STRUCTURES;

AQUATIC ECOSYSTEM; AUTOMATION; ECOSYSTEM MODELING; ERROR ANALYSIS; ESTIMATION METHOD; NUMERICAL MODEL; OPTIMIZATION; PARAMETERIZATION; THEORETICAL STUDY;

EID: 84866040933     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.06.001     Document Type: Article

References (28)

1. Afshar A., Kazemi H., Saadatpour M. Particle swarm optimization for automatic calibration of large scale water quality model (CE-QUAL-W2): application to Karkheh Reservoir, Iran. Water Resources Management 2011, 25(10):2613-2632.
2. Atanasova, N., 2006. Preparation and use of the domain expert knowledge for automated modeling of aquatic ecosystems. Ph.D. Thesis. Faculty of Civil and Geodetic Engineering, University of Ljubljana.
3. Atanasova N., Recknagel F., Todorovski L., Džeroski S., Kompare B. Computational assemblage of ordinary differential equations for chlorophyll-a using a lake process equation library and measured data of Lake Kasumigaura. Ecological Informatics 2006, 409-427. Springer, Berlin/Heidelberg. F. Recknagel (Ed.).
4. Atanasova N., Todorovski L., Džeroski S., Kompare B. Constructing a library of domain knowledge for automated modelling of aquatic ecosystems. Ecological Modelling 2006, 194(1-3):14-36.
5. Atanasova N., Todorovski L., Džeroski S., Kompare B. Application of automated model discovery from data and expert knowledge to a real-world domain: lake Glumso. Ecological Modelling 2008, 212(1-2):92-98.
6. Atanasova N., Todorovski L., Džeroski S., Rekar Remec v., Recknagel F., Kompare B. Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge. Ecological Modelling 2006, 194(1-3):37-48.
7. Athias V., Mazzega P., Jeandel C. Selecting a global optimization method to estimate the oceanic particle cycling rate constants. Journal of Marine Research 2000, 58(5):675-707.
8. Bridewell W., Langley P., Todorovski L., Džeroski S. Inductive process modeling. Machine Learning 2008, 71(1):1-32.
9. Bunch D.S., Gay D.M., Welsch R.E. Algorithm 717: subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models. ACM Transactions on Mathematical Software 1993, 19(1):109-130.
10. Cao H., Recknagel F., Cetin L., Zhang B. Process-based simulation library SALMO-OO for lake ecosystems. part 2: multi-objective parameter optimization by evolutionary algorithms. Ecological Informatics 2008, 3(2):181-190.
11. Dorigo M., Stützle T. Ant Colony Optimization 2004, MIT Press, Cambridge, MA.
12. Džeroski S., Todorovski L. Discovering dynamics. Proceedings of the Tenth International Conference on Machine Learning 1993, 97-103. Morgan Kaufmann.
13. Finley J.R., Pintér J.D., Satish M.G. Automatic model calibration applying global optimization techniques. Environmental Modeling and Assessment 1998, 3(1):117-126.
14. Gershenfeld N. The Nature of Mathematical Modeling 1999, Cambridge University Press.
15. Gilboa Y., Friedler E., Gal G. Adapting empirical equations to Lake Kinneret data by using three calibration methods. Ecological Modelling 2009, 220(23):3291-3300.
16. Horst R., Pardalos P., Thoai N. Introduction to Global Optimization 2000, Springer.
17. KoroŠec P., Šilc J., Filipič B. The differential ant-stigmergy algorithm. Information Sciences 2012, 192:82-97.
18. Luenberger D.G. Introduction to Dynamic Systems: Theory, Models, and Applications 1979, Wiley.
19. Matear R.J. Parameter optimization and analysis of ecosystem models using simulated annealing: a case study at Station P. Journal of Marine Research 1995, 53(4):571-607.
20. Pfanzagl J. Parametric Statistical Theory 1994, Walter de Gruyter.
21. Tashkova K., Šilc J., Atanasova N., Džeroski S. Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization. Ecological Modelling 2012, 226:36-61.
22. Todorovski, L., 2003. Using domain knowledge for automated modeling of dynamic systems with equation discovery. Ph.D. Thesis. University of Ljubljana.
23. Todorovski L., Bridewell W., Shiran O., Langley P. Inducing hierarchical process models in dynamic domains. Proceedings of the 20th National Conference on Artificial intelligence 2005, 892-897. AAAI Press.
24. Todorovski L., Džeroski S. Declarative bias in equation discovery. Proceedings of the Fourteenth International Conference on Machine Learning 1997, 376-384. Morgan Kaufmann.
25. Todorovski L., Džeroski S. Integrating knowledge-driven and data-driven approaches to modeling. Ecological Modeling 2006, 194(1-3):3-13.
26. Törn A., Ali M., Viitanen S. Stochastic global optimization: problem classes and solution techniques. Journal of Global Optimization 1999, 14:437-447.
27. Whigham P., Recknagel F. Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithms. Ecological Modelling 2001, 146(1-3):243-251.
28. Zhang X., Srinivasan R., Bosch D. Calibration and uncertainty analysis of the SW, model using Genetic Algorithms and Bayesian Model Averaging. Journal of Hydrology 2009, 374(3-4):307-317.