Applied Neural Networks in Mechatronics for Intelligent Engineering Applications: Enhancing Mechatronic Systems With Applied Neural Networks – Augmentation in Intelligent Engineering

Applied Neural Networks in Mechatronics for Intelligent Engineering Applications: Enhancing Mechatronic Systems With Applied Neural Networks – Augmentation in Intelligent Engineering

DOI: 10.4018/979-8-3693-1186-8.ch004
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Abstract

This chapter explores the application of neural networks in mechatronics for intelligent engineering applications. Mechatronics is an interdisciplinary field that involves the integration of mechanical, electrical, and computer engineering to develop advanced systems. Artificial intelligence (AI), and in particular, neural networks, have proven to be effective tools in enhancing the intelligence of mechatronic systems. The chapter provides an overview of mechatronics, AI, and neural networks, followed by a literature review discussing their applications and advantages. The results show that using neural networks in mechatronics improves the intelligence of mechatronic systems, resulting in better performance. The chapter indicates that neural networks have the potential to dramatically improve the intelligence of mechatronic systems and recommends future research directions. This study lays the groundwork for future research into the use of neural networks in mechatronics for intelligent engineering applications.
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Review Of Literature

The use of neural networks in mechatronics for intelligent engineering applications has received a lot of attention in recent years. Neural networks are a type of artificial intelligence that may acquire knowledge from data and determine actions based on it, making them an important tool for improving the intelligence of mechatronic systems. Neural networks have been used in various mechatronic applications, including robotics, control systems, and sensors. For example, researchers have used neural networks to develop robotic systems that can learn from their environment and adapt their behaviour to changing conditions. Neural networks have also been used to develop intelligent control systems that can optimize performance and reduce energy consumption.

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