Name
Title | ||
|---|---|---|
Comments and Corrections Comments on ``Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach''. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2899219 | IEEE transactions on neural networks and learning systems |
Keywords | DocType | Volume |
Convergence,Signal processing algorithms,Adaptive learning,Estimation,Learning systems,Training,Steady-state | Journal | 31 |
Issue | ISSN | Citations |
3 | 2162-237X | 2 |
PageRank | References | Authors |
0.39 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdul Wahab | 1 | 165 | 25.50 |
| Shujaat Khan | 2 | 38 | 9.56 |