Neural Networks and Their Applications in Smart Systems

Neural networks have revolutionized the landscape of smart systems, enabling unprecedented capabilities in pattern recognition, data analysis, and decision-making. This chapter examines the profound impact of neural networks across various domains, including healthcare, finance, autonomous driving, and energy management. It highlights the remarkable achievements of neural networks in diagnostic accuracy, personalized medicine, algorithmic trading, and optimized energy consumption. The chapter also addresses the challenges associated with neural networks, such as data requirements, computational resources, interpretability, and overfitting. By reviewing related works and methodologies, it provides a comprehensive understanding of the evolution and applicability of neural networks in smart systems. The chapter concludes with a discussion on the practical implications and future directions of neural network technology, emphasizing the need for advancements in data augmentation, model interpretability, and resource efficiency. Through detailed analyses and performance metrics, this chapter underscores the versatility and effectiveness of neural networks in tackling diverse challenges and paves the way for further innovations in the field.