A two-stage support-vector-regression optimization model for municipal solid waste management - A case study of Beijing, China

Journal of Environmental Management

Volumn 92, Issue 12, 2011, Pages 3023-3037

  Dai, C ^a   Li, Y P ^a   Huang, G H ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Interval; Management; Municipal solid waste; Optimization; Planning; Support vector regression; Uncertainty

Indexed keywords

FORECASTING; INTEGER PROGRAMMING; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; VECTORS; WASTE TREATMENT; ZONING;

INTERVAL; MUNICIPAL SOLID WASTE MANAGEMENT; OPTIMISATIONS; OPTIMIZATION MODELS; POLYNOMIAL KERNELS; QUANTITATIVE SIMULATION; SIMULATION PERFORMANCE; SOLID WASTE MANAGEMENT SYSTEMS; SUPPORT VECTOR REGRESSIONS; UNCERTAINTY;

MUNICIPAL SOLID WASTE;

ACCURACY ASSESSMENT; MUNICIPAL SOLID WASTE; OPTIMIZATION; REGRESSION ANALYSIS; UNCERTAINTY ANALYSIS; URBAN AREA; WASTE DISPOSAL; WASTE TREATMENT;

ACCURACY; ADJUSTMENT; ARTICLE; CASE STUDY; CHINA; CITY PLANNING; DYNAMICS; EXERCISE; KERNEL METHOD; MUNICIPAL SOLID WASTE; PARAMETER; PERCEPTION; POLICY; PREDICTION; QUANTITATIVE ANALYSIS; SIMULATION; SOLID WASTE MANAGEMENT; SYSTEM ANALYSIS; WASTE DISPOSAL; WASTE MANAGEMENT;

BEIJING [CHINA]; CHINA;

EID: 80052875840     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2011.06.038     Document Type: Article

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