Refining satellite Altimetry-Derived gravity anomaly model with shipborne gravity using multilayer perceptron neural networks

Refining satellite Altimetry-Derived gravity anomaly model with shipborne gravity using multilayer perceptron neural networks

Abstract This study refines the gravity anomaly model derived from altimetry data by employing a multilayer perceptron (MLP) neural network to integrate multi-source geophysical data (longitude, latitude, gravity anomaly, geoid height, bathymetry, and sediment thickness) based on shipborne gravity....

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Bibliographic Details
Main Authors: Chengjun Xiao, Jinyun Guo, Chengcheng Zhu, Hui Li, Shangguo Liu, Xin Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Multilayer perceptron
Marine gravity anomalies
Shipborne gravity
Multi-source geophysical data
Gulf of Mexico
Online Access:https://doi.org/10.1038/s41598-025-04619-8
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https://doi.org/10.1038/s41598-025-04619-8

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