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A Ship Anti-missile Effectiveness Assessment Model Based on..:
, In:
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Wu, Chenhan
;
Yao, Peiqin
;
Deng, Hongbo
. - p. 250-256 , 2022
Link:
https://doi.org/10.1109/AUTEEE56487.2022.9994288
RT T1 <cTitle>2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>A Ship Anti-missile Effectiveness Assessment Model Based on LSSA-BP Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9994288&Exemplar=1&LAN=DE A1 Wu, Chenhan A1 Yao, Peiqin A1 Deng, Hongbo A1 Zhang, Haibo YR 2022 SN 2831-4549 K1 Atmospheric modeling K1 Neural networks K1 Data models K1 Surface fitting K1 Indexes K1 Marine vehicles K1 Statistics K1 surface ship K1 effectiveness assessment K1 sparrow search algorithm K1 BP neural network K1 good point set K1 sorted pairing learning strategy SP 250 OP 256 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE56487.2022.9994288 DO https://doi.org/10.1109/AUTEEE56487.2022.9994288 SF ELIB - SuUB Bremen
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