Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach

Cited 5 time in webofscience Cited 0 time in scopus
  • Hit : 139
  • Download : 0
In this comment, we raise serious concerns over the derivation of the rate of convergence of fractional steepest descent algorithm in fractional adaptive learning approach presented in "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach." We substantiate that the estimate of the rate of convergence is grandiloquent. We also draw attention toward a critical flaw in the design of the algorithm stymieing its applicability for broad adaptive learning problems. Our claims are based on analytical reasoning supported by experimental results.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2020-03
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.31, no.3, pp.1066 - 1068

ISSN
2162-237X
DOI
10.1109/TNNLS.2019.2899219
URI
http://hdl.handle.net/10203/282080
Appears in Collection
RIMS Journal Papers
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 5 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0