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Tecciencia
versão impressa ISSN 1909-3667
Resumo
BAZURTO, Nychol; MARTINEZ, Carlos e ESPITIA, Helbert. Comparison Between Fuzzy, Neuro-Fuzzy and Neural Network Models To Estimate the Expansion of Coffee Berry Borer in Colombian Coffee Crops. Tecciencia [online]. 2017, vol.12, n.23, pp.19-24. ISSN 1909-3667. https://doi.org/10.18180/tecciencia.2017.23.3.
In this paper we carry out a comparison among different techniques applied to simulation and representation of the expansion of the coffee berry borer in the Colombian coffee crops. First, we make a brief description of techniques: neural networks, neuro-fuzzy and fuzzy logic. Then, the models implementation is described and finally, we shown the comparison among these models, highlighting performance of neural networks.
Palavras-chave : Neural Networks; Fuzzy Logic; Coffee Berry Borer; Expansion.