International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Artificial Intelligence in Mechanical Systems: A Neural Network Perspective

Yogesh Ashok Paliwal, Nikhil Mohanrao Ekotkhane, Pravin A. Sapane, Nupul Narayan Shirbhate

Abstract :

Artificial intelligence (AI) has revolutionized various fields, including mechanical engineering. Integrating AI in mechanical systems has given rise to intelligent machines that can learn, adapt, and make decisions autonomously. This paper provides an in-depth examination of the application of artificial neural networks (ANNs) in mechanical systems, highlighting their potential benefits and challenges. We also discuss the current state of research in this field and provide examples of successful implementations. The paper explores the intersection of AI and mechanical engineering, examining the potential of ANNs to drive innovation and improvement in mechanical systems. With the increasing demand for efficient and productive mechanical systems, ANNs have become a crucial tool for mechanical engineers. This paper aims to provide a comprehensive overview of the application of ANNs in mechanical systems, highlighting their potential benefits and challenges, and exploring the current state of research in this field.

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