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

arXiv: https://arxiv.org/abs/1802.09211 · HTML: https://mlsanity.com/paper/1802.09211/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Feb 2018.

## Built on by (most cited first, 1 of 1)

- [Performance Analysis of Fractional Learning Algorithms](https://mlsanity.com/paper/2110.05201/) (2021)

## Abstract (arXiv)

In this comment, we raise serious concerns over the derivation of the rate of convergence of fractional steepest descent algorithm in Fractional Adaptive Learning (FAL) approach presented in `Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach' [IEEE Trans. Neural Netw. Learn. Syst., vol. 26, no. 4, pp. 653--662, April 2015]. We substantiate that the estimate of the rate of convergence is grandiloquent. We also draw attention towards 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.