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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Bibliographic Details
Main Author: Gonçalves, P.J.S. (author)
Other Authors: Estevinho, L.M. (author), Pereira, A.P. (author), Sousa, J.M.C. (author), Anjos, O. (author)
Format: article
Language:eng
Published: 2018
Subjects:
Bee pollen
Physical-chemical parameters
Botanical origin
Neural networks
Fuzzy modelling
Support vector machines
Online Access:http://hdl.handle.net/10400.11/5715
Country:Portugal
Oai:oai:repositorio.ipcb.pt:10400.11/5715

Internet

http://hdl.handle.net/10400.11/5715

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