Csépe, Zoltán and Makra, László and Voukantsis, Dimitris and Matyasovszky, István and Tusnády, Gábor (2014) Predicting daily ragweed pollen concentrations using computational intelligence techniques over two heavily polluted areas in Europe. SCIENCE OF THE TOTAL ENVIRONMENT, 476-47. pp. 542-552. ISSN 0048-9697
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| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | FORECAST; POLLINOSIS; season; Hungary; TRENDS; CLIMATE-CHANGE; AIRBORNE POLLEN; ARTIFICIAL NEURAL-NETWORKS; MULTIPLE-REGRESSION MODELS; AMBROSIA-ARTEMISIIFOLIA L.; Tree based methods; Multi-Layer Perceptron; NEURAL NETWORKS; Forecasting; Allergy; Ragweed pollen; Multi-Layer Perceptron |
| Subjects: | Q Science / természettudomány > QH Natural history / természetrajz > QH540 Ecology / ökológia |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 18 Feb 2015 14:55 |
| Last Modified: | 18 Feb 2015 14:55 |
| URI: | http://real.mtak.hu/id/eprint/21927 |
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