| Autor: |
Duch, Włodzisław, Kacprzyk, Janusz, Oja, Erkki, Zadrożny, Sławomir, Brudzewski, Kazimierz, Osowski, Stanisław, Markiewicz, Tomasz, Ulaczyk, Jan |
| Zdroj: |
Artificial Neural Networks: Biological Inspirations - ICANN 2005 (9783540287551); 2005, p899-904, 6p |
| Abstrakt: |
The paper presents the application of Support Vector Machine for recognition and classification of the bio-products in the gasoline. We consider the supplement of such bio-products, as ethanol, MTBE, ETBE and benzene. The recognition system contains the measuring part in the form of semiconductor array sensors responding with a signal pattern characteristic for each gasoline blend type. The SVM network working in the classification mode processes these signals and associates them with an appropriate class. It will be shown that the proposed measurement system represents an excellent tool for the recognition of different types of the gasoline blends. The results are compared with application of multilayer perceptron. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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