Research on the Multi-Parameter Modeling of Submarine Sediment Prediction

Zhong Hui Luo; Qi Jun Xiao; Jun Lan Wu

doi:10.4028/www.scientific.net/AMM.462-463.13

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 462-463Research on the Multi-Parameter Modeling of...

Research on the Multi-Parameter Modeling of Submarine Sediment Prediction

Abstract:

It is presented in this paper the technology of principal component analysis and analyze existing empirical equation and its calculation errors. A principle component model is then built up using the measurement data of sediments from the continental slope and shelf in southern South China Sea. It is also studied in theory how to exclude correlated parameters from a number of parameters that can affect the sound velocity and how to optimize a few parameters that are obviously related to sound velocity without cross-correlation. Using the optimal physical parameters, such as porosity n, median grain size Md (φ) and plastic limit Wp, a three-parameter forecasting equation of sound velocity is established for the continental shelf and slope in southern South China Sea.

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Periodical:

Applied Mechanics and Materials (Volumes 462-463)

Pages:

13-16

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.462-463.13

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Online since:

November 2013

Authors:

Zhong Hui Luo, Qi Jun Xiao*, Jun Lan Wu

Keywords:

Neural Network (NN), Principal Component Analysis (PCA), Seafloor Sediment, Sound Velocity Forecast

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* - Corresponding Author

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