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Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection
For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning combined with sparse autoencoder and radial basis func...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677371/ https://www.ncbi.nlm.nih.gov/pubmed/28991154 http://dx.doi.org/10.3390/s17102279 |