Improving the prediction of average total ozone in column over the Iberian Peninsula using neural networks banks-Reference-Cited by-同舟云学术

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Improving the prediction of average total ozone in column over the Iberian Peninsula using neural networks banks

Published:2011-04 Issue:9 Volume:74 Page:1492-1496
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Salcedo-Sanz S.,Camacho J.L.,Pérez-Bellido Á.M.,Ortiz-Garcia E.G.,Portilla-Figueras A.,Hernández-Martín E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. Ozone forecasting from meteorological variables: part I. Predictive models by moving window and partial least squares regression;Massart;Chemometrics and Intelligent Laboratory Systems,1998

2. Ozone forecasting from meteorological variables: part II. Daily maximum ground-level ozone concentration from local weather forecasts;Massart;Chemometrics and Intelligent Laboratory Systems,1998

3. Refining accuracy of environmental data prediction by MoG neural networks;Panella;Neurocomputing,2003

4. Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong;Lu;Neurocomputing,2003

5. Comparison of total ozone from the satellite instruments GOME and TOMS with measurements from the Dobson network 1996–2000;Bramstedt;Atmospheric Chemistry and Physics,2003

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2. On the problem of forecasting air pollutant concentration with morphological models;Neurocomputing;2017-11

3. Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data;Atmósfera;2017-01-01

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