Computational intelligence applied to discriminate bee pollen quality and botanical origin
The aim of this work was to develop computational intelligence models based on neural networks (NN), fuzzy models (FM), and support vector machines (SVM) to predict physicochemical composition of bee pollen mixture given their botanical origin. To obtain the predominant plant genus of pollen (was th...
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.11/5715 |
| País: | Portugal |
| Oai: | oai:repositorio.ipcb.pt:10400.11/5715 |