Fuzzy Transform and Extreme Learning Machine for Solving Volterra Integral Equation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F25%3AA2603BIQ" target="_blank" >RIV/61988987:17610/25:A2603BIQ - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11152284/" target="_blank" >https://ieeexplore.ieee.org/document/11152284/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/fuzz62266.2025.11152284" target="_blank" >10.1109/fuzz62266.2025.11152284</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Transform and Extreme Learning Machine for Solving Volterra Integral Equation
Original language description
We propose a new design for a feedforward neural network model that can be used to find numerical solutions to various linear Volterra integral equations of the second kind. The developed architecture has a solid theoretical basis in the theory of fuzzy transforms and thus contributes to the important area of explainable neural network design.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GF24-10177L" target="_blank" >GF24-10177L: Fractional and fuzzy-fractional transport in disordered environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE International Conference on Fuzzy Systems (FUZZ)
ISBN
979-8-3315-4319-8
ISSN
1544-5615
e-ISSN
1558-4739
Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineering
Place of publication
Piscataway
Event location
Reims
Event date
Jul 6, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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