Machine learning in real-time control of water systems

Urban Water

Volumn 4, Issue 3, 2002, Pages 283-289

  Lobbrecht, Arnold H ^a,b   Solomatine, Dimitri P ^b  

^a HydroLogic   (Netherlands)

^b IHE Delft ^*  (Netherlands)

Author keywords

Artificial neural networks; Fuzzy logic; Machine learning; Polders; Real time control; Water systems

Indexed keywords

EID: 0036325502     PISSN: 14620758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1462-0758(02)00023-7     Document Type: Article

References (13)

1. Application of adaptive fuzzy rule-based models for reconstruction of missing precipitation events
2. Dynamic control of the delfland polders and storage basin, Netherlands
3. Control of water levels in polder areas using neural networks and fuzzy adaptive systems
4. AQUARIUS-based decision support systems using distributed computing
5. Application of Fuzzy Logic to Reservoir Operation Modelling
6. Reservoir operation rules with fuzzy programming
7. Neural network approximation of a hydrodynamic model in optimizing reservoir operation