Impact of the Radial basis function spread factor onto image reconstruction in electrical impedance tomography

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096776" target="_blank" >RIV/61989100:27240/15:86096776 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ifacol.2015.07.038" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2015.07.038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2015.07.038" target="_blank" >10.1016/j.ifacol.2015.07.038</a>

Result language
angličtina
Original language name
Impact of the Radial basis function spread factor onto image reconstruction in electrical impedance tomography
Original language description
The major problem of the Electrical impedance tomography (EIT) is to get the resistivity distribution image of a given cross-sectional area. There are many methods solving this non-linear problem, mostly requiring certain simplifications and assumptions.Most of the methods are also computationally demanding and not easy to implement. The usage of the neural networks appears to be a solution of the mentioned problems. In this article we continued with our previous study and used Radial basis function (RBF) neural network for image reconstruction in electrical impedance tomography and we focused on examining how the change of the spread parameter of the RBF influences the result of the image reconstruction with the RBF neural network
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IFAC Proceedings Volumes (IFAC-PapersOnline). Volume 48
ISBN
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ISSN
1474-6670
e-ISSN
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Number of pages
4
Pages from-to
230-233
Publisher name
IFAC
Place of publication
London
Event location
Krakov
Event date
May 13, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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