ARTIFICIAL INTELLIGENCE, SIMULATION TECHNIQUES, AND ITS FUTURE IN INDUSTRIAL ENGINEERING
DOI:
https://doi.org/10.36790/epistemus.v14i29.129Keywords:
Artificial intelligence, Petri nets, Principal component analysis (PCA), Machine learningAbstract
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.
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