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April 2021

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title

MACHINE LEARNING AND ITS NEED IN MECHANICAL INDUSTRY 4.0

Author(s):

Aishwarya Pachhapur

Keywords:

Machine learning, Supervised learning, Unsupervised learning, Semi-supervised learning, Machine learning Models, Mechanical Engineering.

Abstract

Mechanical industry is facing more complex and dynamic behaviour. And for more efficient working we should use all the available aspects. Such efficient development can be achieved by using modern techniques. Machine learning is one of the immerging fields which is showing a great result for fulfilling such complex and challenging need of the industry. Machine learning is a subset of artificial intelligence. Machine learning is a study of statistical model and algorithms which is used by computer systems to perform task without any explicit instructions or reference. Machine learning focuses on prediction using computers. The machine learning is actually based on study of mathematical optimization. Machine learning is used in various sectors for solving and analysing critical problems. Machine learning helps in sectors such as medical, financial, energy, mechanical, and may more industry. The main aim of this study to focus on the basic terms used in machine learning and the application of machine learning in mechanical industry. In mechanical industry machine learning is widely used in manufacturing, quality control, production areas.

Other Details

Paper ID: IJSARTV
Published in: Volume : 7, Issue : 1
Publication Date: 1/4/2021

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