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Hazardous Odor Recognition by CMAC Based Neural Networks

Electronic noses are being developed as systems for the automated detection and classification of odors, vapors, and gases. Artificial neural networks (ANNs) have been used to analyze complex data and to recognize patterns, and have shown promising results in recognition of volatile compounds and od...

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Detalles Bibliográficos
Autores principales: Bucak, İhsan Ömür, Karlık, Bekir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290512/
https://www.ncbi.nlm.nih.gov/pubmed/22399997
http://dx.doi.org/10.3390/s90907308