PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

Science of the Total Environment

Volumn 621, Issue , 2018, Pages 753-761

  Garcia Nieto P J ^a   Sanchez Lasheras F ^a   Garcia Gonzalo E ^a   de Cos Juez, F J ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Autoregressive integrated moving average (ARIMA); Multilayer perceptron (MLP); Particulate matter (PM10) forecasting; Support vector regression (SVR); Vector autoregressive moving average (VARMA)

Indexed keywords

FORECASTING; GAUSSIAN NOISE (ELECTRONIC); MULTILAYER NEURAL NETWORKS; MULTILAYERS; POLLUTION; VECTORS;

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; MULTI LAYER PERCEPTRON; PARTICULATE MATTER; SUPPORT VECTOR REGRESSION (SVR); VECTOR AUTOREGRESSIVE MOVING AVERAGES;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); FORECASTING METHOD; METROPOLITAN AREA; PARTICULATE MATTER; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

ARTICLE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE; CASE STUDY; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENVIRONMENTAL MONITORING; FORECASTING; MATHEMATICAL MODEL; PARTICLE SIZE; PARTICULATE MATTER; PERCEPTRON; POLLUTION TRANSPORT; PRIORITY JOURNAL; SIMULATION; SPAIN; SUPPORT VECTOR MACHINE; URBAN AREA; VECTOR AUTOREGRESSIVE MOVING AVERAGE;

ASTURIAS; OVIEDO; SPAIN;

EID: 85036475541     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2017.11.291     Document Type: Article

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