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• W2039960108 abstract "Summary Two types of fuzzy inference systems (FIS) are used for predicting municipal water consumption time series. The FISs used include an adaptive neuro-fuzzy inference system (ANFIS) and a Mamdani fuzzy inference systems (MFIS). The prediction models are constructed based on the combination of the antecedent values of water consumptions. The performance of ANFIS and MFIS models in training and testing phases are compared with the observations and the best fit model is identified according to the selected performance criteria. The results demonstrated that the ANFIS model is superior to MFIS models and can be successfully applied for prediction of water consumption time series." @default.
• W2039960108 created "2016-06-24" @default.
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• W2039960108 date "2009-08-01" @default.
• W2039960108 modified "2023-10-02" @default.
• W2039960108 title "Comparative analysis of fuzzy inference systems for water consumption time series prediction" @default.
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• W2039960108 doi "https://doi.org/10.1016/j.jhydrol.2009.06.013" @default.
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