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Machine Learning Applications in Mechanical Engineering | Abstract
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European Journal of Applied Engineering and Scientific Research

Abstract

Machine Learning Applications in Mechanical Engineering

Author(s): Camilo Andres Manrique Escobar

Data-driven research is currently revolutionizing how to model, predict, and control complex systems. This because many of the most pressing open issues in the literature do not adapt well to the traditional analytical approaches based only on scientific principles. For instance, modern dynamical systems theory is currently undergoing a renaissance, with analytical derivations and first-principles models giving way to data-driven approaches.