Classification of Colombian honeys by electronic nose and physical-chemical parameters, using neural networks and genetic algorithms
Author:
Affiliation:
1. Instituto de Ciencia y Tecnología de Alimentos, Universidad Nacional de Colombia, Bogotá, DC, Colombia
Funder
Departamento Administrativo de Ciencia, Tecnología e Innovación
Ministerio de Agricultura y Desarrollo Rural
Publisher
Informa UK Limited
Subject
Insect Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/00218839.2017.1339521
Reference34 articles.
1. Knowledge of Colombian biodiversity: published and indexed
2. Genetic Algorithms for architecture optimisation of Counter-Propagation Artificial Neural Networks
3. Electronic nose and neural network use for the classification of honey
4. Identification of components of Brazilian honey by 1H NMR and classification of its botanical origin by chemometric methods
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