Computational intelligence techniques in modeling water systems: some applications

Author

Solomatine, D.P.

Author_Institution

Int. Inst. for Infrastructural, Hydraulic & Environ. Eng., Delft, Netherlands

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1853

Lastpage

1858

Abstract

Applications of artificial neural networks, fuzzy rule-based systems, M5 model trees, chaos theory to the problems of water management and control are described. Such data-driven models are becoming an alternative to behavioral models based on the equations describing the dynamics of water bodies. Various methods are compared and the conclusions are drawn on their applicability in different application areas

Keywords

chaos; data mining; decision trees; fuzzy logic; hydrology; knowledge based systems; learning (artificial intelligence); nonlinear dynamical systems; pattern classification; pattern clustering; self-organising feature maps; M5 model trees; chaos theory; computational intelligence techniques; data-driven models; fuzzy rule-based systems; neural networks; water control; water management; water systems; Artificial neural networks; Chaos; Computational intelligence; Decision trees; Fuzzy systems; Intelligent networks; Machine learning; Machine learning algorithms; Navier-Stokes equations; Water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007801

Filename

1007801