Stability and hopf bifurcation of a class of six-neuron fractional bam neural networks with multiple delays

HIGHLIGHTS

• who: Bingbing Li et al. from the School of Mathematics and Physics, University of South China, Hengyang, China have published the Article: Stability and Hopf Bifurcation of a Class of Six-Neuron Fractional BAM Neural Networks with Multiple Delays, in the Journal: (JOURNAL)
• what: The study shows that when the time lag exceeds its critical value the equilibrium point of the system will lose its stability and generate Hopf bifurcation. For the smooth follow-up work, the authors propose the following assumptions. The fractional BAM neural_network model with six neurons studied in this paper is . . .
  

   

  

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