基于BP神经网络模型的ADCP倾斜条件下的修正算法研究

doi:10.3976/j.issn.1002-4026.2018.03.001

SHANDONG SCIENCE

• Oceanographic Science, Technology and Equipment • Next Articles

The analysis between wave estimation error and influencing factors based on BP model when ADCP tilts

ZHENG Wei,YANG Ying,HUI Li, LU Cheng-jie,ZHAO Bin,YANG Li

Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Techno1ogy，National Engineering and Technological Research Center of Marine Monitoring Equipment, Institute of Oceanographic Instrumentation，Qilu University of Technology (Shandong Academy of Sciences)，Qingdao 266001, China

Received:2017-08-30 Online:2018-06-20 Published:2018-06-20

Abstract

Abstract:

Considering that the existing tilt correction is not accurate when ADCP is tilted, the BP neural network model is used to analyze the nonlinear relationship between wave estimation error and various influencing factors such as ADCP pitching angle, roll angle and setting depth. The result shows that real wave directional spectrum and wave directional spectrum that BP neural network predicts are in good agreement. BP neural network model can improve wave estimation accuracy.

Key words: ADCP, tilt correction, wave estimation, BP neural network model, ocean surface wave measurement

CLC Number:

TB556

ZHENG Wei,YANG Ying,HUI Li, LU Cheng-jie,ZHAO Bin,YANG Li. The analysis between wave estimation error and influencing factors based on BP model when ADCP tilts[J].SHANDONG SCIENCE, 2018, 31(3): 1-7.

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The analysis between wave estimation error and influencing factors based on BP model when ADCP tilts

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