Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem

Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem

This paper aims to determine whether regularization improves image reconstruction in electrical impedance tomography (EIT) using a radial basis network. The primary purpose is to investigate the effect of regularization to estimate the network parameters of the radial basis function network to solve...

Full description

Bibliographic Details
Main Authors: Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss, Taufiquar Khan
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Algorithms
Subjects:
electricalimpedance tomography
radial basis function
deep learning
regularization
Online Access:https://www.mdpi.com/1999-4893/16/10/461

Internet

https://www.mdpi.com/1999-4893/16/10/461

Similar Items