Title :
Computational intelligence techniques in modeling water systems: some applications
Author :
Solomatine, D.P.
Author_Institution :
Int. Inst. for Infrastructural, Hydraulic & Environ. Eng., Delft, Netherlands
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007801
