Material Removal Rate Prediction Based on Broad Echo State Learning System for Magnetically Driven Internal Finishing-Reference-Cited by-同舟云学术

Material Removal Rate Prediction Based on Broad Echo State Learning System for Magnetically Driven Internal Finishing

Published:2023-05 Issue:5 Volume:19 Page:6295-6304
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zhang Jiong¹^ORCID,Tian Wenwen²^ORCID,Zhao Fei²^ORCID,Mei Xuesong²^ORCID,Chen Guangde³^ORCID,Wang Hao¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore

2. State Key Laboratory for Manufacturing Systems Engineering, the Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong Univeristy, Xi'an, China

3. School of Physics, Xi'an Jiaotong Univeristy, Xi'an, China

Funder

Ministry of Education - Singapore

National Key Research and Development Program of China

Science and Technology Major Project of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10116046/09875987.pdf?arnumber=9875987

Reference38 articles.

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2. The “echo state” approach to analysing and training recurrent neural networks-with an erratum note;jaeger,2001

3. Abrasive flow machining (AFM) finishing of conformal cooling channels created by selective laser melting (SLM)

4. Online robust echo state broad learning system

5. Effect of abrasive size and glue mass ratio on material removal and surface finish in magnetically driven internal finishing process;zhang;Proc 21th Int Conf Eur Soc Precis Eng Nanotechnol,0