Linear and nonlinear modeling approaches for urban air quality prediction

Science of the Total Environment

Volumn 426, Issue , 2012, Pages 244-255

  Singh, Kunwar P ^a   Gupta, Shikha ^a   Kumar, Atulesh ^b   Shukla, Sheo Prasad ^b  

^a CSIR INDIAN INSTITUTE OF TOXICOLOGY RESEARCH   (India)

^b INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Air quality; Generalized regression neural network; Multilayer perceptron network; Multivariate polynomial regression; Partial least squares; Radial basis function network

Indexed keywords

AIR QUALITY MONITORING; AIR QUALITY PREDICTION; AIR TEMPERATURE; CORRELATION COEFFICIENT; GENERALIZED REGRESSION NEURAL NETWORKS; INFLUENCING PARAMETERS; INPUT VARIABLES; MEAN ABSOLUTE ERROR; MULTI-LAYER PERCEPTRON NETWORKS; MULTIVARIATE POLYNOMIAL; NASH-SUTCLIFFE COEFFICIENT; NON-LINEAR MODEL; NONLINEAR MODELING; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST-SQUARES REGRESSION; RESPIRABLE SUSPENDED PARTICULATE MATTERS; ROOT MEAN SQUARED ERRORS; STANDARD ERROR OF PREDICTION; STATISTICAL CRITERION; TEST SETS; URBAN AIR QUALITY; WIND SPEED;

AIR QUALITY; LEARNING ALGORITHMS; MULTIVARIABLE SYSTEMS; NEURAL NETWORKS; NITROGEN OXIDES; NONLINEAR SYSTEMS; OPTIMIZATION; PARTICLES (PARTICULATE MATTER); RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SULFUR DIOXIDE;

FORECASTING;

NITROGEN DIOXIDE; SULFUR DIOXIDE;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; CORRELATION; LEAST SQUARES METHOD; MODELING; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; SUSPENDED PARTICULATE MATTER; URBAN ATMOSPHERE;

AIR MONITORING; AIR QUALITY; AIR TEMPERATURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; GENERALIZED REGRESSION NEURAL NETWORK; HUMIDITY; INDIA; MATHEMATICAL MODEL; MULTILAYER PERCEPTRON NETWORK; MULTIVARIATE ANALYSIS; MULTIVARIATE POLYNOMIAL REGRESSION; NONLINEAR MODEL; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; RADIAL BASED FUNCTION; SENSITIVITY ANALYSIS; STATISTICAL MODEL; SUSPENDED PARTICULATE MATTER; URBAN AREA; WIND;

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL MONITORING; INDIA; LEAST-SQUARES ANALYSIS; LINEAR MODELS; METEOROLOGY; MODELS, CHEMICAL; NONLINEAR DYNAMICS; PARTICULATE MATTER;

INDIA; LUCKNOW CITY; UTTAR PRADESH;

EID: 84860697230     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2012.03.076     Document Type: Article

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