Hybrid Fuzzy Regression-Artificial Neural Network for Improvement of Short-Term Water Consumption Estimation and Forecasting in Uncertain and Complex Environments: Case of a Large Metropolitan City

Journal of Water Resources Planning and Management

Volumn 138, Issue 1, 2011, Pages 71-75

  Azadeh, A ^a   Neshat, N ^b   Hamidipour, H ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network (ANN); Complexity; Forecasting; Fuzzy linear regression (FLR); Optimization; Uncertainty; Water consumption

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPLEXITY; FUZZY LINEAR REGRESSION; UNCERTAINTY; WATER CONSUMPTION;

FORECASTING; LINEAR REGRESSION; METEOROLOGY; NEURAL NETWORKS; OPTIMIZATION;

WATER SUPPLY;

ARTIFICIAL NEURAL NETWORK; COMPLEXITY; DATA SET; FORECASTING METHOD; FUZZY MATHEMATICS; METROPOLITAN AREA; OPTIMIZATION; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; WATER USE;

IRAN; TEHRAN [IRAN];

EID: 84857159811     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000152     Document Type: Article

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