Concurrency Computation Practice and Experience, volume 34, issue 7
Quantum‐behaved RS‐PSO‐LSSVM method for quality prediction in parts production processes
Publication type: Journal Article
Publication date: 2019-09-12
Q2
Q2
SJR: 0.533
CiteScore: 5.0
Impact factor: 1.5
ISSN: 15320626, 15320634
DOI:
10.1002/cpe.5522
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GOST
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Yingying S. et al. Quantum‐behaved RS‐PSO‐LSSVM method for quality prediction in parts production processes // Concurrency Computation Practice and Experience. 2019. Vol. 34. No. 7.
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Yingying S., Lianjuan H., Wang J., Wang H. Quantum‐behaved RS‐PSO‐LSSVM method for quality prediction in parts production processes // Concurrency Computation Practice and Experience. 2019. Vol. 34. No. 7.
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TY - JOUR
DO - 10.1002/cpe.5522
UR - https://doi.org/10.1002/cpe.5522
TI - Quantum‐behaved RS‐PSO‐LSSVM method for quality prediction in parts production processes
T2 - Concurrency Computation Practice and Experience
AU - Yingying, Su
AU - Lianjuan, Han
AU - Wang, Jian'an
AU - Wang, Huimin
PY - 2019
DA - 2019/09/12
PB - Wiley
IS - 7
VL - 34
SN - 1532-0626
SN - 1532-0634
ER -
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@article{2019_Yingying,
author = {Su Yingying and Han Lianjuan and Jian'an Wang and Huimin Wang},
title = {Quantum‐behaved RS‐PSO‐LSSVM method for quality prediction in parts production processes},
journal = {Concurrency Computation Practice and Experience},
year = {2019},
volume = {34},
publisher = {Wiley},
month = {sep},
url = {https://doi.org/10.1002/cpe.5522},
number = {7},
doi = {10.1002/cpe.5522}
}