AI-Driven Optimization of Mechanical Components for Enhanced Performance
Abstract
The rapid advancements in artificial intelligence (AI) are revolutionizing various fields, including mechanical
engineering. This paper explores the application of AI-driven optimization techniques to enhance the performance
of mechanical components. Traditional optimization methods often rely on empirical testing and manual
adjustments, which can be time-consuming and limited by human intuition. In contrast, AI-driven approaches
leverage machine learning algorithms and data-driven models to automate and refine the optimization process.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Business Management and Visuals, ISSN: 3006-2705
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.