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Comments on “Influence of Time Delay on Bifurcation in Fractional Order BAM Neural Networks With Four Delays”

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Mathematical modeling is a tool that has a lot of applications in applied sciences. This has driven extensive investigations and the development of different methods in applied mathematics. Recently, neural… Click to show full abstract

Mathematical modeling is a tool that has a lot of applications in applied sciences. This has driven extensive investigations and the development of different methods in applied mathematics. Recently, neural networks have attracted a significant attention in various research areas owing to their promising application in signal and image processing, optimization solvers, intelligent control, quadratic optimization, and automatic control. In a recent paper [1], the authors discussed that the time delay has an important influence on the stability and Hopf bifurcation of the involved networks. The derived results in this paper are new and will play a key role in the future optimization of networks and the improvement of human life. However, the mathematical modeling discussed in [1] contains a wrong calculation in the early part of the paper related to the Hopf bifurcation, which is subsequently carried out throughout the manuscript. The purpose of this comment is to point out the calculation error in [1] and provide the correct calculation.

Keywords: xref; neural networks; bifurcation; time delay

Journal Title: IEEE Access
Year Published: 2020

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