Enhancing manufacturing process by predicting component failures using machine learning
Author:
Funder
Universiti Sains Malaysia
Kementerian Pendidikan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07465-1.pdf
Reference29 articles.
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2. Shastri AS, Nargundkar A, Kulkarni AJ, Sharma KK (2020) Multi-cohort intelligence algorithm for solving advanced manufacturing process problems. Neural Comput Appl 32(18):15055–15075. https://doi.org/10.1007/s00521-020-04858-y
3. Alpaydin E (2020) Introduction to machine learning, 8th edn. MIT press
4. Saravanan R, Sujatha P (2018). A State of Art Techniques on Machine Learning Algorithms: A Perspective of Supervised Learning Approaches in Data Classification. 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)
5. Yin Z, Liu J, Krueger M, Gao H (2015). Introduction of SVM algorithms and recent applications about fault diagnosis and other aspects. 2015 IEEE 13th International Conference on Industrial Informatics (INDIN)
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