Application of mechanical product design parameter optimization based on machine learning in identification-Reference-Cited by-同舟云学术

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Application of mechanical product design parameter optimization based on machine learning in identification

Published:2023-01-18 Issue: Volume: Page:1-15
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Wang ChunCai¹,Ye Chang¹,Bi YanRu¹,Wang JiXin²,Han YunWu³

Affiliation:

1. School of Mathematical Equipment, Jiangsu Vocational College of Electronics and Information, Huai’an, China

2. Chongqing Research Institute, Jilin University, Chongqing, China

3. School of Intelligent Transportation, Jiangsu Vocational College of Electronics and Information, Huai’an, China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2022.2160388

Reference37 articles.

1. A probabilistic model to evaluate the resilience of unattended machinery plants in autonomous ships

2. Network Support Data Analysis for Fault Identification Using Machine Learning

3. Optimization of membrane physical and chemical cleaning by a statistically designed approach

4. Analysis of wave band gaps in mechanical metamaterial based on Nelder–Mead method

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine parameter optimization for sustainable machining of magnesium alloys: a review of current research gaps and opportunities;Advances in Materials and Processing Technologies;2024-03-28

2. Machine learning and deep learning in project analytics: methods, applications and research trends;Production Planning & Control;2024-03-11

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