Deep Learning and Higher Degree F-transforms: Interpretable Kernels Before and After Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA21023D8" target="_blank" >RIV/61988987:17610/20:A21023D8 - isvavai.cz</a>
Result on the web
<a href="https://www.atlantis-press.com/journals/ijcis/125944627/view" target="_blank" >https://www.atlantis-press.com/journals/ijcis/125944627/view</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2991/ijcis.d.200907.001" target="_blank" >10.2991/ijcis.d.200907.001</a>
Alternative languages
Result language
angličtina
Original language name
Deep Learning and Higher Degree F-transforms: Interpretable Kernels Before and After Learning
Original language description
One of the current trends in the deep neural network technology consists in allowing a man-machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support. We propose our insight that is based on the particular theory of fuzzy (F)-transforms. Besides a theoretical explanation, we develop a new architecture of a deep neural network where the F-transform convolution kernels are used in the first two layers. Based on a series of experiments, we demonstrate the suitability of the F-transform-based deep neural network in the domain of image processing with the focus on recognition. Moreover, we support our insight by revealing the similarity between the F-transform and first-layer kernels in the most used deep neural networks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Computational Intelligence Systems
ISSN
1875-6891
e-ISSN
1875-6883
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
SG - SINGAPORE
Number of pages
10
Pages from-to
1404-1414
UT code for WoS article
000608285000006
EID of the result in the Scopus database
2-s2.0-85091564080