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...

Full description

Saved in:
Bibliographic Details
Main Author: Jimenez Serrano, Eleazar
Format: Online
Language:spa
Published: Universida de Sonora 2021
Online Access:https://epistemus.unison.mx/index.php/epistemus/article/view/129
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.