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Pattern Classification Using an Olfactory Model with PCA Feature Selection in Electronic Noses: Study and Application
Biologically-inspired models and algorithms are considered as promising sensor array signal processing methods for electronic noses. Feature selection is one of the most important issues for developing robust pattern recognition models in machine learning. This paper describes an investigation into...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376605/ https://www.ncbi.nlm.nih.gov/pubmed/22736979 http://dx.doi.org/10.3390/s120302818 |