Semantic Scholar Open Access 2024 1 sitasi

Machine Learning Analysis in Mechanical Engineering

Huan-Huan Zhao

Abstrak

Despite the rapid development of the AI industry and the programming industry in the machinery manufacturing or production industry, there is no systematic explanation as to why the use of machine learning can enhance the development of related industries. This paper summarizes the reasons for the industry’s development direction from the three aspects of machine learning’s automation design, expected maintenance, and production efficiency improvement. The learning types are briefly introduced to indicate the application of machine learning in mechanical engineering. By providing relevant examples, the superiority of machine learning in mechanical engineering is reflected, and specific practical cases are given to show the development trend of machine learning in the manufacturing industry in the future. Finally, we make predictions on the main development directions of machine learning in the future industry.

Penulis (1)

H

Huan-Huan Zhao

Format Sitasi

Zhao, H. (2024). Machine Learning Analysis in Mechanical Engineering. https://doi.org/10.70267/2xfync82

Akses Cepat

Lihat di Sumber doi.org/10.70267/2xfync82
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.70267/2xfync82
Akses
Open Access ✓