Cyber-Physical Systems

3Machine Learning: A Key Towards Smart Cyber-Physical Systems

Rashmi Kapoor^1*, Chandragiri Radhacharan² and Sung-ho Hur³

¹Department of EEE, VNR VJIET, Hyderabad, India

²Department of EEE, JNTUH University College of Engineering Jagtial, Nachupally (Kondagattu), India

³School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea

Abstract

Machine learning is one of the important components of cyber physical systems. Either development or implementation about cloud computing or edge computing, machine learning, deep learning and AI techniques are key to develop a smart cyber physical system. Machine learning has applications in almost all streams of engineering. It is considered as a subset of Artificial Intelligence (AI) but can be seen as an extension of AI that has broadened the application areas of AI.

AI was initiated to make computers mimic human behaviour, considering human to be most intelligent creature on the earth. Although, later when discussions concluded that human behaviour cannot always be considered as intelligent, modified to “mimicking ideal human behaviour”. Modern AI techniques are extracting intelligence not only from human but also from many other creatures like Ant, Bee, Monkey, birds, fishes and many more.

Machine learning added a new feature to AI by trying to make our computer system learn from the data they are receiving. By using Machine Learning techniques, the computers are now not only processing ...