Welding and Cutting Case Studies with Supervised Machine Learning
Autor: | Gao, Liang Garg, Akhil Kamal, Rajeev Karan, Abhinav Niu, Xiaodong Vendan, S. Arungalai |
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EAN: | 9789811393815 |
Auflage: | 001 |
Sachgruppe: | Technik |
Sprache: | Englisch |
Seitenzahl: | 260 |
Produktart: | Gebunden |
Veröffentlichungsdatum: | 04.06.2020 |
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Combines mechanical, metallurgical, arc physics, manufacturing, electrical and data analytics expertise from an interdisciplinary perspectiveIntroduces supervised learning for parametrical interdependency analysis using coding in Python's Pandas, NumPy, and Scikit Learn librariesExamines the welding and cutting process from its basic configuration to experimental trials, testing and characterization, as well as the use of data visualizationPresents procedures, materials, and data acquired from real-time experimentation adopted for critical applications