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

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dc.contributor.authorWahab, Abdulko
dc.contributor.authorKhan, Shujaatko
dc.date.accessioned2021-03-26T03:35:07Z-
dc.date.available2021-03-26T03:35:07Z-
dc.date.created2020-04-14-
dc.date.issued2020-03-
dc.identifier.citationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.31, no.3, pp.1066 - 1068-
dc.identifier.issn2162-237X-
dc.identifier.urihttp://hdl.handle.net/10203/282080-
dc.description.abstractIn 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.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleComments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach-
dc.typeArticle-
dc.identifier.wosid000521961300031-
dc.identifier.scopusid2-s2.0-85081593406-
dc.type.rimsART-
dc.citation.volume31-
dc.citation.issue3-
dc.citation.beginningpage1066-
dc.citation.endingpage1068-
dc.citation.publicationnameIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS-
dc.identifier.doi10.1109/TNNLS.2019.2899219-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorConvergence-
dc.subject.keywordAuthorSignal processing algorithms-
dc.subject.keywordAuthorAdaptive learning-
dc.subject.keywordAuthorEstimation-
dc.subject.keywordAuthorLearning systems-
dc.subject.keywordAuthorTraining-
dc.subject.keywordAuthorSteady-state-
dc.subject.keywordAuthorFractional calculus-
dc.subject.keywordAuthorfractional differential-
dc.subject.keywordAuthorfractional energy norm-
dc.subject.keywordAuthorfractional extreme point-
dc.subject.keywordAuthorfractional gradient-
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