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 <xref ref-type="bibr" rid="ref1">[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 <xref ref-type="bibr" rid="ref1">[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 <xref ref-type="bibr" rid="ref1">[1] and provide the correct calculation.