RECOGNIZING BEER STYLES WITH NA ARTIFICIAL NEURAL NETWORK

Authors

  • Diogo Costa Pereira IFTM

DOI:

https://doi.org/10.47820/recima21.v2i4.200

Keywords:

Beer Styles, Artificial intelligence, Neural Networks, Pattern Recognition

Abstract

This work aimed to develop a computational tool using the concepts of artificial neural networks to recognize some of the beer style groups based on the BJCP 2015 style guide. For this, in addition to the development of the input patterns that the artificial neural network needs to work, the Encog 3.4 framework was used to reuse codes. The results of the two tests carried out in this work were very positive, since the neural network, in addition to recognizing all the beer styles of a group from BJCP 2015, in its first test, it also managed to distinguish the styles of four simultaneous groups of the guide of styles.

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Published

05/05/2021

How to Cite

Costa Pereira, D. (2021). RECOGNIZING BEER STYLES WITH NA ARTIFICIAL NEURAL NETWORK. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 2(4), e24200. https://doi.org/10.47820/recima21.v2i4.200

Issue

Vol. 2 No. 4 (2021): EDITORIAL - CLICK HERE TO ACCESS THE ARTICLES

Section

ARTIGOS

Categories

License

Copyright (c) 2021 RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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