Automatic system for wine qualification through Neural Networks
Abstract
Treatment of data for the qualification of wines, this report details the process followed, where the Python programming language was used, for the analysis of the data of the dataset, the Google Colab server was used to execute the algorithms in the cloud since the team considered that the speed of data analysis in Google Collab is faster. Neural networks have the ability to learn and perform tasks based on an initial training called adaptive learning and are also fault-tolerant.
Downloads
References
Python.[Online]. Available: https://es.wikipedia.org/wiki/Python
E. Lazarte, “Entrenamiento de una red neuronal hardware desde matlab (hardware in the loop),” Madrid, Febrero, 2017. Available: http://oa.upm.es/45516/1/TFG_EDUARDO_LASARTE_ZAPATA.pdf/.
D. Peralta, A. Herrera, F. Herrera, “Un estudio sobre el preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dígitos Manuscritos,”September 2016 . [Online], Available: https://eusal.es/index.php/eusal/catalog/download/978-84-9012-632-5/5256/5486-1?inline=1
Keras.[Online].Available: https://keras.io/
Tensorflow.[Online]. Available:https://www.tensorflow.org/
Machine Learnig con tensorflow y keras en python.[Online]. Available: https://www.luisllamas.es/machine-learning-con-tensorflow-y-keras-en-python/
Anaconda Distribution: La Suite más completa para la Ciencia de datos con Python.[Online]. Available: https://blog.desdelinux.net/ciencia-de-datos-con-python/
Numpy.[Online].Available: https://damianavila.github.io/Python-Cientifico-HCC/3_NumPy.html
Bioinformatics at COMAV.[Online].Available https://bioinf.comav.upv.es/courses/linux/python/pandas.html
Matplotlib. [ Online].Available: https://es.wikipedia.org/wiki/Matplotlib.
Jupyter notebook: documenta y ejecuta código desde el navegador.[Online].Avaliable https://blog.desdelinux.net/jupyter-notebook/
D. Matich, “Redes Neuronales: Conceptos Básicos y Aplicaciones,” Universidad Tecnológica Nacional – Facultad Regional Rosario Departamento de Ingeniería Química - Grupo de Investigación Aplicada a la Ingeniería Química (GIAIQ), Mar. 2021. [Online] Disponible en: https://www.frro.utn.edu.ar/repositorio/catedras/quimica/5_anio/orientadora1/monograias/matich-redesneuronales.pdf
J. Montaño, “Redes Neuronales Artificiales aplicadas al Análisis de Datos,” UNIVERSITAT DE LES ILLES BALEARS - Facultad de Psicología, 2002. [Online] Disponible en:https://www.tesisenred.net/bitstream/handle/10803/9441/tjjmm1de1.pdf?sequence=1
A. Serrano, E. Soria, J. Martín, “Redes neuronales artificiales,” Escola Tecnica Superior de Enginyeria - Departament de Enginyeria Electronica, 2010, [Online] Disponible en: http://ocw.uv.es/ingenieria-y-arquitectura/1-2/libro_ocw_libro_de_redes.pdf
F. Lara, “Fundamentos de redes neuronales artificiales,” Laboratorio de cibernética aplicada, centro de instrumentos UNAM, [Online] Disponible en: http://conceptos.sociales.unam.mx/conceptos_final/598trabajo.pdf
R Gonzales, “Phyton para todos,” [Online] Disponible en: http://www.utic.edu.py/citil/images/Manuales/Python_para_todos.pdf
Copyright (c) 2022 Innovación y Software
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors exclusively grant the right to publish their article to the Innovation and Software Journal, which may formally edit or modify the approved text to comply with their own editorial standards and with universal grammatical standards, prior to publication; Likewise, our journal may translate the approved manuscripts into as many languages as it deems necessary and disseminates them in several countries, always giving public recognition to the author or authors of the research.
