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Polymer characterization with a fuzzy classification algorithm
The classification of polymer samples from their infra-red spectra has been achieved by the application of a fuzzy c-means cluster algorithm. The generation of a fuzzy classifier allows the characterization of samples which are a combination of more than one pure polymer.
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
1994
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548035/ https://www.ncbi.nlm.nih.gov/pubmed/18924987 http://dx.doi.org/10.1155/S1463924694000209 |
| Sumario: | The classification of polymer samples from their infra-red spectra has been achieved by the application of a fuzzy c-means cluster algorithm. The generation of a fuzzy classifier allows the characterization of samples which are a combination of more than one pure polymer. |
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