ANALYSIS OF NONLINEAR PROCESSES USING ARTIFICIAL INTELLIGENCE

Abstract

The role of artificial intelligence in the analysis of nonlinear processes and its potential practical applications are covered in this article. It is shown how artificial neural networks, machine learning algorithms, and optimization techniques can be used to model complex behaviors seen in nonlinear systems [1][2]. The advantages of AI-based process prediction, accuracy enhancement, complex relationship identification, and quick modeling of actual systems are examined in this article.