ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING

The fabrication of artificial intelligence (AI) includes among several things the creation of data sets and the use of probabilistic, statistical, and numerical analysis methods for machine learning. Computer simulation techniques are sometimes used as an AI learning platform, implement these data s...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखक: Jimenez Serrano, Eleazar
स्वरूप: Online
भाषा:spa
प्रकाशित: Universida de Sonora 2021
ऑनलाइन पहुंच:https://epistemus.unison.mx/index.php/epistemus/article/view/129
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spelling oai:http:--epistemus.unison.mx:article-1292021-12-17T19:58:19Z ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING Inteligencia artificial, técnicas de simulación, y su futuro en la ingeniería industrial Jimenez Serrano, Eleazar Artificial intelligence Petri nets Principal component analysis (PCA) Machine learning Inteligencia artificial Redes de Petri Análisis de componentes principales (PCA) Aprendizaje automático The fabrication of artificial intelligence (AI) includes among several things the creation of data sets and the use of probabilistic, statistical, and numerical analysis methods for machine learning. Computer simulation techniques are sometimes used as an AI learning platform, implement these data sets as inputs, calculate the best fit using the adopted method, and output a predictive behavior model. Among the newest techniques, this manuscript describes Petri nets as a simulation technique, the analysis of principal component (PCA) as a useful method in machine learning, and the application of simulation in the future of industrial engineering. La creación de inteligencia artificial (en inglés AI) incluye entre varias cosas la creación de conjuntos de datos y el uso de métodos de análisis numérico para el aprendizaje automático (machine learning). Técnicas de simulación computarizada se utilizan a veces como una plataforma en el aprendizaje de la AI, implementan dichos datos como entradas, calculan el mejor ajuste mediante el método adoptado, y arrojan como salida un modelo predictivo de comportamiento. En este manuscrito se describe en particular las redes de Petri como una técnica de simulación, el análisis de componentes principales (en inglés PCA) útil en el método de aprendizaje automático, y la aplicación de la simulación en el futuro de la ingeniería industrial. Universida de Sonora 2021-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion CienTecYSoc CienTecYSoc application/pdf text/xml https://epistemus.unison.mx/index.php/epistemus/article/view/129 10.36790/epistemus.v14i29.129 EPISTEMUS; Vol. 14 No. 29 (2020): Mining, Democracy, Economy, Altruism: How do they affect a country?; 62-69 EPISTEMUS; Vol. 14 Núm. 29 (2020): Minería, Democracia, Economía, Altruismo: ¿Cómo afectan a un país?; 62-69 2007-8196 2007-4530 spa https://epistemus.unison.mx/index.php/epistemus/article/view/129/168 https://epistemus.unison.mx/index.php/epistemus/article/view/129/128 2020-2022 2020-2022 Derechos de autor 2021 EPISTEMUS https://creativecommons.org/licenses/by-nc-nd/4.0
institution Epistemus
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language spa
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author Jimenez Serrano, Eleazar
spellingShingle Jimenez Serrano, Eleazar
ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
author_facet Jimenez Serrano, Eleazar
author_sort Jimenez Serrano, Eleazar
title ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
title_short ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
title_full ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
title_fullStr ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
title_full_unstemmed ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
title_sort artificial intelligence, simulation techniques, and its future in industrial engineering
description The fabrication of artificial intelligence (AI) includes among several things the creation of data sets and the use of probabilistic, statistical, and numerical analysis methods for machine learning. Computer simulation techniques are sometimes used as an AI learning platform, implement these data sets as inputs, calculate the best fit using the adopted method, and output a predictive behavior model. Among the newest techniques, this manuscript describes Petri nets as a simulation technique, the analysis of principal component (PCA) as a useful method in machine learning, and the application of simulation in the future of industrial engineering.
publisher Universida de Sonora
publishDate 2021
url https://epistemus.unison.mx/index.php/epistemus/article/view/129
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