Improving runoff forecasting by input variable selection in Genetic Programming

Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001

Volumn 111, Issue , 2004, Pages

  Muttil, N ^a   Liong, S Y ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

APPROPRIATE MODELS; DATA SETS; GROUP METHOD OF DATA HANDLING; INPUT VARIABLE SELECTION; MODEL DEVELOPMENT; MODEL PARAMETERS; RUNOFF FORECASTING; STRONG CORRELATION;

COMPLEXATION; DATA HANDLING; GENETIC PROGRAMMING; PROFESSIONAL ASPECTS; RUNOFF; SENSITIVITY ANALYSIS;

WATER RESOURCES;

EID: 75649133223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40569(2001)76     Document Type: Conference Paper

References (4)

1. Banzhaf, W., Nordin, P., Keller, R., Francone, F., (1998). Genetic Programming - An Introduction. On the Automatic Evolution of Computer Programs and its Applications, Morgan Kaufmann Publishers, Inc., San Francisco, California.
2. Farlow S. J., ed., (1984). Self-Organizing Method in Modeling: GMDH Type algorithms, Statistics: Textbooks and Monographs, Vol. 54.
3. Koza, J., (1992). Genetic Programming: On the programming of computers by natural selection, MIT Press, Cambridge, MA.
4. Liong, S.Y., Gautam, T.R., Muttil, N. and Khu, S.T., (2000). "Runoff forecasting with genetic programming", Hydroinformatics 2000, IOWA, USA.