Monthly water demand forecasting by adaptive neuro-fuzzy inference system approach;Uyarlamali si̇ni̇rsel bulanik mantik yaklaşimi i̇le aylik su tüketi̇mi̇ni̇n tahmi̇ni̇

Journal of the Faculty of Engineering and Architecture of Gazi University

Volumn 23, Issue 2, 2008, Pages 449-457

  Firat, Mahmut ^a   Yurdusev, M Ali ^b   Mermer, Mutlu ^b  

^a PAMUKKALE UNIVERSITY   (Turkey)

^b CELAL BAYAR UNIVERSITY   (Turkey)

Author keywords

ANFIS; Water demand forecasting; Water demand management

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS); BEST FIT; BEST-FIT MODELS; CLIMATIC FACTORS; CORRELATION COEFFICIENT (CC); DATA SETS; FORECASTING MODELS; INDEPENDENT VARIABLES; MULTIPLE REGRESSIONS; PERFORMANCE EVALUATION (PE); ROOT MEAN-SQUARE ERROR (RMSE); SOCIO ECONOMIC; TRAINING AND TESTING; WATER DEMANDS; WATER USES;

BIOCHEMICAL OXYGEN DEMAND; CORRELATION METHODS; FOOD PROCESSING; FORECASTING; FUZZY INFERENCE; FUZZY LOGIC; REUSABILITY;

FUZZY SYSTEMS;

EID: 47549096434     PISSN: 13001884     EISSN: 13001884     Source Type: Journal    
DOI: None     Document Type: Article

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