| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1179808 | Chemometrics and Intelligent Laboratory Systems | 2011 | 11 Pages |
Abstract
⺠We present an evolutionary algorithm for association rules discovery in TOC modeling. ⺠Ozone satellite observations in three measuring stations in the Iberian Peninsula are considered. ⺠As input variables, meteorological variables from NCAR reanalysis have been used. ⺠Association rules obtained by the proposed algorithm accurately models TOC.
Related Topics
Physical Sciences and Engineering
Chemistry
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Authors
M. MartÃnez-Ballesteros, S. Salcedo-Sanz, J.C. Riquelme, C. Casanova-Mateo, J.L. Camacho,