Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2445/125468
Título:
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Fuzzy k-NN applied to mould detection
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Autor/a:
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Kuske, M.; Rubio, R.; Romain, A. C.; Nicolas, J.; Marco Colás, Santiago
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Otros autores:
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Universitat de Barcelona |
Abstract:
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The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 ± 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one. |
Materia(s):
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-Conjunts borrosos -Xarxes de sensors -Fuzzy sets -Sensor networks |
Derechos:
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(c) Elsevier B.V., 2005
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Tipo de documento:
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Artículo Artículo - Versión aceptada |
Editor:
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Elsevier B.V.
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