Support vector machine for recognition of bio-products in gasoline

Authors:
Kazimierz Brudzewski;Stanisław Osowski;Tomasz Markiewicz;Jan Ulaczyk
Affiliations:
Warsaw University of Technology, Warsaw, Poland;Warsaw University of Technology, Warsaw, Poland;Warsaw University of Technology, Warsaw, Poland;Warsaw University of Technology, Warsaw, Poland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

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.