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Virtual organization with fusion knowledge in odor classification: Profile on PlumX
Título : Virtual organization with fusion knowledge in odor classification
Autor(es) : Villarrubia González, Gabriel
De Paz Santana, Juan F.
Pelki, Dechen
De la Prieta Pintado, Fernando
Omatu, Sigeru
Palabras clave : Computer Science
Fecha de publicación : 2017
Editor : Elsevier
Citación : Neurocomputing. Volumen 231, pp. 3-10. Elsevier.
Resumen : E-nose systems are becoming increasingly important instruments across all industries, especially the fields of food and beverages and biomedicine. Given the inaccurate, unsafe and unreliable dependency on the human nose to detect smells that are highly risky and hazardous to human health, e-nose systems offer a tremendous advantage. E-noses are convenient, highly efficient and can be used in real life to detect various types of odors. This paper presents a virtual organization of agents that integrates different classification techniques and neural networks to perform information fusion from parameters retrieved by the E-nose. The integral brain in e-noses is the data processing system, which classifies odors that have been detected by the detection part of its system. The system mimics how a human brain classifies odors.
URI : http://hdl.handle.net/10366/134244
ISSN : 0925-2312
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