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1
An adaptive SOM algorithm for PCB NC drilling path planning:
, In:
2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI)
,
Huang, Kai
;
Xu, Rui
;
Dong, Qiu-Yan
. - p. 103-108 , 2022
Link:
https://doi.org/10.1109/AHPCAI57455.2022.10087805
RT T1 <cTitle>2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI)</cTitle>: T1 <Title>An adaptive SOM algorithm for PCB NC drilling path planning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10087805&Exemplar=1&LAN=DE A1 Huang, Kai A1 Xu, Rui A1 Dong, Qiu-Yan A1 Fu, Chao YR 2022 K1 Self-organizing feature maps K1 Drilling K1 Adaptive systems K1 High performance computing K1 Neural networks K1 Learning (artificial intelligence) K1 Path planning K1 PCB K1 drilling path planning K1 TSP K1 SOM K1 adaptive algorithm SP 103 OP 108 LK http://dx.doi.org/https://doi.org/10.1109/AHPCAI57455.2022.10087805 DO https://doi.org/10.1109/AHPCAI57455.2022.10087805 SF ELIB - SuUB Bremen
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