USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
Grzegorz Kłosowski, Tomasz Rymarczyk
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska · 2017
doi:10.5604/01.3001.0010.5226 (opens in a new tab)
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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.
Abstract licence: CC BY
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