Predicting Motion Trajectory of Bedload Pebble based on LSTM_Attention_Kalman Model

Author:

Nie Binghua1,Ma Bin2

Affiliation:

1. Henan Ruisheng Intelligent Technology Co., Ltd,Zhengzhou,China

2. North China University of Water Resources and Hydropower,School of Information Engineering,Zhengzhou,China

Publisher

IEEE

Reference15 articles.

1. Bed-load motion in the south channel and its effect on the south and north passages in the Yangtze Estuary[J];Lan;The Ocean Engineering,2003

2. Course sediment transport measurement in rivers and on coasts using advanced particle tracing technologies[R];Sear;Wiltshire, English: Engineering & Physical Sciences Research Council,2019

3. The use of particle tracking in sediment transport studies: a review[J];Kevin;Particle Tracking,2018

4. Nonlinear Bedload Transport Trajectory Angle Expressed in a Traditional Form: Derivation and Application

5. Mining frequent trajectory using FP-tree in GPS data[J];Li;Journal of Computational Information Systems,2013

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