ARTIFICIAL INTELLIGENCE-BASED MODELING OF MECHANICAL SYSTEMS
DOI:
https://doi.org/10.5281/Keywords:
Artificial Intelligence, Mechanical Systems, Machine Learning, Deep Learning, Neural Networks, Predictive Maintenance, Engineering.Abstract
Artificial Intelligence (AI) has become one of the most influential technologies in modern engineering. The integration of AI into mechanical system modeling has created new opportunities for improving accuracy, efficiency, and reliability in engineering processes. Traditional mathematical models often face difficulties when analyzing complex and nonlinear mechanical systems. AI techniques such as Machine Learning, Deep Learning, and Artificial Neural Networks can learn system behavior directly from data and provide highly accurate predictions. This article examines the role of Artificial Intelligence in mechanical system modeling, discusses its major applications, advantages, and challenges, and highlights future development trends. The study demonstrates that AI-based approaches significantly improve predictive capabilities and support intelligent decision-making in mechanical engineering.
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