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- W2354103651 abstract "Since the current methods for the detecting the compaction quality of earth-rock fill material have some defects such as lower automatic level,lower efficiency,less sampling density,etc.,they are difficult to meet the demand of the real-time control on the quality the actual construction;for which developing a new detection technology for realization of the high precision,quick,non-destructive and dynamic detection of the fill material becomes an important task to be urgently solved.The principle of BP neural network is described herein and a prediction model for detecting the quality of the earth-rock fill material is established in combination with the dynamic parameters of the time-curve of PFWD(portable falling weight deflectometer) based on the BP neural network.The comparative analysis on the actual data shows that the method can satisfy the quick detection of the compaction quality concerned." @default.
- W2354103651 created "2016-06-24" @default.
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- W2354103651 date "2011-01-01" @default.
- W2354103651 modified "2023-09-23" @default.
- W2354103651 title "BP neural network based quality control on compaction of earth-rock fill material" @default.
- W2354103651 hasPublicationYear "2011" @default.
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