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- W2892669473 abstract "Target recognition based on BP neural network is the use of neural network method to build related Model, to ensure the stability and effectiveness, in order to achieve better target identification. On the basis of studying the principle of BP neural network, a neural network model of target recognition is constructed. The article talks about the number of input, hidden and output layers in the model structure, as well as the number of nodes in each layer, studies the setting of the weight of related parameters and gives improvement strategies including adaptive learning efficiency and setting momentum factor. Experiments show that the BP neural network algorithm with improved performance optimization is successful in the target recognition." @default.
- W2892669473 created "2018-10-05" @default.
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- W2892669473 date "2018-05-01" @default.
- W2892669473 modified "2023-09-26" @default.
- W2892669473 title "Research on Target Recognition Technology Based on BP Neural Network Algorithm" @default.
- W2892669473 cites W1036856872 @default.
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- W2892669473 doi "https://doi.org/10.1109/imcec.2018.8469442" @default.
- W2892669473 hasPublicationYear "2018" @default.
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