Active and online prediction of BOD 5 in river systems using reduced-order support vector machine

Environmental Earth Sciences

Volumn 67, Issue 1, 2012, Pages 141-149

  Noori, Roohollah ^a   Karbassi, Abdulreza ^a   Ashrafi, Khosro ^a   Ardestani, Mojtaba ^a   Mehrdadi, Naser ^a   Bidhendi, Gholam Reza Nabi ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

5 Day biochemical oxygen demand (BOD 5); Reduced order model; Sefidrood River; Support vector machine (SVM)

Indexed keywords

5-DAY BIOCHEMICAL OXYGEN DEMAND (BOD 5); CORRELATION COEFFICIENT; HARDWARE SENSORS; MODEL-BASED OPC; ON-LINE MEASUREMENT; ONLINE PREDICTION; OPTIMUM MODEL; PROPER ORTHOGONAL DECOMPOSITIONS; REDUCED ORDER; REDUCED ORDER MODELS; RESEARCH EFFORTS; RIVER BASINS; RIVER SYSTEMS; ROOT MEAN SQUARE ERRORS; SOFTWARE SENSOR; SVM MODEL; WATER QUALITY PARAMETERS;

BIOCHEMICAL OXYGEN DEMAND; FORECASTING; MEAN SQUARE ERROR; PRINCIPAL COMPONENT ANALYSIS; RIVERS; SENSORS; WATER QUALITY;

SUPPORT VECTOR MACHINES;

BIOCHEMICAL OXYGEN DEMAND; MEASUREMENT METHOD; NUMERICAL MODEL; PREDICTION; RIVER SYSTEM; SOFTWARE; WATER QUALITY;

GILAN; IRAN; SEFIDROOD BASIN;

EID: 84865713773     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-1487-9     Document Type: Article

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