Short range forecast of atmospheric radon concentration and stable layer depth by neural network modelling

IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn 2003-January, Issue , 2003, Pages 85-90

  Pasini, A ^a   Ameli, F ^b   Lore M ^a  

^a CNR   (Italy)

^b INFN SEZIONE DI ROMA   (Italy)

Author keywords

Atmosphere; Atmospheric modeling; Character recognition; Electronic mail; Neural networks; Nonlinear dynamical systems; Physics; Pollution; Predictive models; Remuneration

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC CHEMISTRY; CHARACTER RECOGNITION; DYNAMICAL SYSTEMS; EARTH ATMOSPHERE; ELECTRONIC MAIL; FORECASTING; NEURAL NETWORKS; NONLINEAR DYNAMICAL SYSTEMS; PHYSICS; POLLUTION; RADON;

ATMOSPHERIC MODEL; NEURAL NETWORK MODEL; NEURAL NETWORK MODELLING; NON-LINEAR DYNAMICS; PHYSICAL INFORMATION; PREDICTIVE MODELS; RADON CONCENTRATIONS; REMUNERATION;

WEATHER FORECASTING;

EID: 16244371458     PISSN: 21591547     EISSN: 21591555     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2003.1227207     Document Type: Conference Paper

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