首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Comments on “Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach”
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Comments on “Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach”

机译:关于“分数极值自适应训练方法:分数最陡下降法”的评论

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摘要

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.
机译:在这篇评论中,我们对分数自适应学习方法中分数最速下降算法的收敛速率的推导提出了严重关注,该分数自适应学习方法在“分数极值自适应训练方法:分数最速下降方法”中提出。我们证实收敛速度的估计是宏大的。我们还提请注意算法设计中的一个关键缺陷,以限制其在广泛的自适应学习问题中的适用性。我们的主张基于实验结果支持的分析推理。

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