Evolving difference equations to model freshwater phytoplankton

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2000, Pages 967-973

  Whigham, P A ^a   Recknagel, F ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; GENETIC PROGRAMMING; PHYTOPLANKTON; ALGAL SPECIES; CHLOROPHYLL A; EQUATION DISCOVERY; FRESHWATER SYSTEMS; NONLINEAR PROBLEMS; PROCESS-BASED MODELING; PROCESS-BASED MODELS; UNDERLYING DYNAMICS;

ALGAE; DIFFERENCE EQUATIONS; ECOLOGY; GENETIC ALGORITHMS; MARINE BIOLOGY; MATHEMATICAL MODELS; TIME SERIES ANALYSIS; GENETIC PROGRAMMING;

PROGRAMMING THEORY; DIFFERENCE EQUATIONS;

EID: 0033671887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. th International Conference on Machine Learning, pp. 97-103, Morgan Kaufmann, San Mateo, CA, 1993.
2. L. Todorovski and S. Dzeroski, "Declarative bias in equation discovery," in Proceedings of the 14th International Conference on Machine Learning, pp. 376-384, Morgan Kaufmann, San Mateo, CA, 1997.
3. J. Koza, Genetic Programming:on the programming of computers by means of natural selection. A Bradford Book, The MIT Press, 1992.
4. E Recknagel, "Anna - artificial neural network model for predicting species abundance and succession of blue-green algae," Hydrobiologia, vol. 394, pp. 47-57, 1997.
5. E Recknagel, M. French, P. Harkonen, and K. Yabunaka, "Aritificial neural network approach for modelling and prediction of algal blooms," Ecological Modelling, vol. 96, pp. 11-28, 1997.
6. P. Whigham and E Recknagel, "Predictive modelling of plankton dynamics in freshwater lakes using genetic programming," in Proceedings of the International Congress on Modelling and Simulation, MODSIM '99 (1. Oxley, E Scrimgeour, and A. Jakeman, eds.), vol. 3, pp. 679-684, Modelling and Simulation Society of Australia and New Zealand Inc., 1999.
7. C. Reynolds, The Ecology of Freshwater Plankton. Cambridge:Cambridge University Press, 1984.
8. C. Reynolds, "Phytoplankton periodicity: the interactions of form, function and environmental variability," Freshwater Biology, vol. 14, pp. 11 1-142, 1984.
9. G. Harris, Phytoplankton Ecology:Structure, Function and Fluctuation, ch. 6. Chapman and Hall Ltd., 1986.
10. E Recknagel and J. Benndorf, "Validation of the ecological simulation model salmo," Int. Revue ges..Hydrobiol., vol. 394, pp. 47-57, 1982.
11. P. Whigham, "Inductive bias and genetic programming," in First International Conference on Genetic Algorithms in Engineering Systems:lnnovations and Applications, pp. 461466, UK:IEE, Sept. 1995.
12. P. Whigham and P. Crapper, "Time series modelling using genetic programming: An application to rainfall-runoff models," in Advances in Genetic Programming 3 (1. Spector, W. Langdon, U. O'Reilly, and P. Angeline, eds.), ch. 5, pp. 89-104, USA:MIT Press, 1999.
13. E. Keogh and M. Pazzani, "Relevance feedback retrieval of time series data," in The Twenty-SecondAnnual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 1999.