USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
Journal Title: Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska - Year 2017, Vol 7, Issue 3
Abstract
This paper refers to the cases of the use of Artificial Neural Networks and Convolutional Neural Networks in impedance tomography. Machine Learning methods can be used to teach computers different technical problems. The efficient use of conventional artificial neural networks in tomography is possible able to effectively visualize objects. The first step of implementation Deep Learning methods in Electrical Impedance Tomography was performed in this work.
Authors and Affiliations
Grzegorz Kłosowski, Tomasz Rymarczyk
Keywords
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- EP ID EP227015
- DOI 10.5604/01.3001.0010.5226
- Views 113
- Downloads 0
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