Hourly ozone prediction for a 24-h horizon using neural networks

Environmental Modelling and Software

Volumn 23, Issue 12, 2008, Pages 1407-1421

  Coman, Adriana ^a   Ionescu, Anda ^a   Candau, Yves ^a  

^a UNIVERSITÉ PARIS EST CRÉTEIL   (France)

Author keywords

Greater Paris; Multilayer perceptron; Neural networks; Non linear dynamics; Ozone; Short term prediction

Indexed keywords

AIR POLLUTION; ARTIFICIAL INTELLIGENCE; FORECASTING; GASES; NEURAL NETWORKS; OZONE; OZONE LAYER; PATTERN RECOGNITION SYSTEMS; TIME SERIES ANALYSIS;

CASCADE (CO); EXOGENOUS VARIABLES; METEOROLOGICAL PARAMETERS; MULTI-LAYER PERCEPTRONS (MLP); NON-LINEAR DYNAMICS; OZONE CONCENTRATIONS; OZONE PREDICTION; OZONE TIME SERIES; RECURSIVE STRUCTURE;

DYNAMIC MODELS;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC MODELING; CONCENTRATION (COMPOSITION); FORECASTING METHOD; OZONE; PREDICTION; TIME SERIES;

EURASIA; EUROPE; FRANCE; ILE DE FRANCE; PARIS; VILLE DE PARIS; WESTERN EUROPE;

EID: 47849095687     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2008.04.004     Document Type: Article

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