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- W2383667055 abstract "In accordance with the characteristics of hydraulic mass concrete structures, the method for crack detection was discussed. A model for the relationship between the crack depth of concrete and its correlative parameters was developed based on BP neural network, and the measured data were used to train and test the network model. Case study shows that the application of BP neural network to crack detection is feasible and effective." @default.
- W2383667055 created "2016-06-24" @default.
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- W2383667055 date "2005-01-01" @default.
- W2383667055 modified "2023-09-23" @default.
- W2383667055 title "Application of neural network to crack detection in hydraulic concrete structures" @default.
- W2383667055 hasPublicationYear "2005" @default.
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