The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography

The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography

This paper refers to an original concept of tomographic measurement of brick wall humidity using an algorithm based on long short-term memory (LSTM) neural networks. The measurement vector was treated as a data sequence with a single time step in the presented study. This approach enabled the use of...

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Bibliographic Details
Main Authors: Grzegorz Kłosowski, Anna Hoła, Tomasz Rymarczyk, Łukasz Skowron, Tomasz Wołowiec, Marcin Kowalski
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
electrical tomography
moisture detection
machine learning
neural networks
long short-term memory (LSTM)
Online Access:https://www.mdpi.com/1996-1073/14/22/7617

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