Comparative analysis of fuzzy inference systems for water consumption time series prediction
- 15 August 2009
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 374 (3-4), 235-241
- https://doi.org/10.1016/j.jhydrol.2009.06.013
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption ModelingWater Resources Management, 2008
- Hydrological time‐series modelling using an adaptive neuro‐fuzzy inference systemHydrological Processes, 2007
- A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, NepalWater Resources Management, 2006
- Water Consumption Prediction of Istanbul City by Using Fuzzy Logic ApproachWater Resources Management, 2005
- Short‐term municipal water demand forecastingHydrological Processes, 2005
- A neuro-fuzzy computing technique for modeling hydrological time seriesJournal of Hydrology, 2004
- Short-Term Water Demand Forecast Modelling at IIT Kanpur Using Artificial Neural NetworksWater Resources Management, 2001
- Decision-Support System for Domestic Water Demand Forecasting and ManagementWater Resources Management, 2001
- WATER CONSERVATION IN CASABLANCA, MOROCCOJawra Journal of the American Water Resources Association, 2000
- Fuzzy identification of systems and its applications to modeling and controlIEEE Transactions on Systems, Man, and Cybernetics, 1985