A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing-Reference-Cited by-同舟云学术

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A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing

Published:2023 Issue: Volume: Page:1-14
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Fang Jingzhong¹,Wang Zidong¹^ORCID,Liu Weibo¹^ORCID,Lauria Stanislao¹^ORCID,Zeng Nianyin²^ORCID,Prieto Camilo³,Sikstrom Fredrik⁴,Liu Xiaohui¹

Affiliation:

1. Department of Computer Science, Brunel University London, Middlesex, U.K.

2. Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China

3. AIMEN Technology Center, Pontevedra, Spain

4. Department of Engineering Science, University West, Trollhättan, Sweden

Funder

European Union’s Horizon 2020 Research and Innovation Programme

INTEGRADDE)

National Natural Science Foundation of China

National Science and Technology Major Project of China

Fundamental Research Funds for the Central Universities

Royal Society of the U

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10003177.pdf?arnumber=10003177

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4. An Enhanced Particle Swarm Algorithm Based on Fitness Landscape Information;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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