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- W2357560043 abstract "This paper proposes a system that detects underwater target identification based on artificial neural networks and Brillouin scattering,and it introduces the momentum item and uses the invariable length of stride in the undersea detection system's neural network.Through computer simulation results show: compared with conventional underwater target recognition systems,the identification system has been greatly improved in the recognition time and recognition rate.These advantages of the identification are extremely beneficial to achieve real-time automatic identification." @default.
- W2357560043 created "2016-06-24" @default.
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- W2357560043 date "2012-01-01" @default.
- W2357560043 modified "2023-09-24" @default.
- W2357560043 title "A New Automatic Recognition System of Underwater Detection Target" @default.
- W2357560043 hasPublicationYear "2012" @default.
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