Forecasting performance of support vector machine for the Poyang Lake's water level

Water Science and Technology

Volumn 70, Issue 9, 2014, Pages 1488-1495

  Lan, Yingying ^a  

^a NANCHANG INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Forecasting; Lake water levels; Poyang Lake; Support vector machine; Time series

Indexed keywords

COMPLEX NETWORKS; FORECASTING; LAKES; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; TIME SERIES; VECTORS; WATER LEVELS;

DATA CHARACTERISTICS; FORECASTING PERFORMANCE; GLOBAL OPTIMAL SOLUTIONS; HYDROLOGIC TIME SERIES; LAKE WATER LEVEL; PO-YANG LAKES; RADIAL BASIS FUNCTION(RBF); SUPPORT VECTOR REGRESSION (SVR);

SUPPORT VECTOR MACHINES;

LAKE WATER;

ERROR ANALYSIS; HYDROLOGICAL MODELING; LAKE ECOSYSTEM; NONLINEARITY; REGRESSION ANALYSIS; TIME SERIES; WATER LEVEL;

ACCURACY; ARTICLE; CALCULATION; EVAPORATION; FORECASTING; HUMAN ACTIVITIES; HYDROLOGIC TIME SERIES; KERNEL METHOD; NONLINEAR SYSTEM; PRECIPITATION; PREDICTION; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; WATER FLOW; ALGORITHM; ANALYSIS; CHINA; COMPUTER PROGRAM; ENVIRONMENTAL MONITORING; LAKE; PROCEDURES; THEORETICAL MODEL;

CHINA; JIANGXI; POYANG LAKE;

ALGORITHMS; CHINA; ENVIRONMENTAL MONITORING; FORECASTING; LAKES; MODELS, THEORETICAL; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84911360237     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2014.396     Document Type: Article

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