A Graph Neural Network Approach with Improved Levenberg–Marquardt for Electrical Impedance Tomography
Electrical impedance tomography (EIT) is a non-invasive imaging method that allows for the acquisition of resistivity distribution information within an object without the use of radiation. EIT is widely used in various fields, such as medical imaging, industrial imaging, geological exploration, etc...
Main Authors: | Ruwen Zhao, Chuanpei Xu, Zhibin Zhu, Wei Mo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/2/595 |
Similar Items
-
The Levenberg–Marquardt Method for Acousto-Electric Tomography on Different Conductivity Contrast
by: Changyou Li, et al.
Published: (2020-05-01) -
Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks
by: Zhiqi Yan, et al.
Published: (2021-09-01) -
The atmospheric model of neural networks based on the improved Levenberg-Marquardt algorithm
by: Cui Wenhui, et al.
Published: (2021-08-01) -
Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training
by: Azizah Suliman, et al.
Published: (2018-06-01) -
Implementasi Pengolahan Citra Untuk Identifikasi Daun Tanaman Obat Menggunakan Levenberg-Marquardt Backpropagation
by: Atsilfia Alfath Syam, et al.
Published: (2021-06-01)