Comments on 'Convergence Analysis of Adaptive Exponential Functional Link Network'

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43907334" target="_blank" >RIV/60076658:12310/23:43907334 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9611542" target="_blank" >https://ieeexplore.ieee.org/document/9611542</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TNNLS.2021.3123540" target="_blank" >10.1109/TNNLS.2021.3123540</a>

Result language
angličtina
Original language name
Comments on 'Convergence Analysis of Adaptive Exponential Functional Link Network'
Original language description
This article is to comment on the derivation of the weight-update stability of in-parameter-linear nonlinear learning system with the gradient descent learning rule in the above article. Our comments are not to disqualify the commented article's whole contribution; however, the issues should be pointed out to avoid their proliferation. © 2021 IEEE.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
IEEE Transactions on Neural Networks and Learning Systems
ISSN
2162-237X
e-ISSN
2162-2388
Volume of the periodical
34
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
2
Pages from-to
6677-6678
UT code for WoS article
999
EID of the result in the Scopus database
2-s2.0-85119415144

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