2026 Volume 16 Issue 1
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Xueying Shi, Xiaoping Chen, Chengdai Huang. DELAY-INDUCED HOPF BIFURCATION OF A FRACTIONAL-ORDER NEURAL NETWORK WITH BOTH NEUTRAL AND INERTIAL TERMS[J]. Journal of Applied Analysis & Computation, 2026, 16(1): 362-379. doi: 10.11948/20250068
Citation: Xueying Shi, Xiaoping Chen, Chengdai Huang. DELAY-INDUCED HOPF BIFURCATION OF A FRACTIONAL-ORDER NEURAL NETWORK WITH BOTH NEUTRAL AND INERTIAL TERMS[J]. Journal of Applied Analysis & Computation, 2026, 16(1): 362-379. doi: 10.11948/20250068

DELAY-INDUCED HOPF BIFURCATION OF A FRACTIONAL-ORDER NEURAL NETWORK WITH BOTH NEUTRAL AND INERTIAL TERMS

  • Author Bio: Email: shixueying26@163.com(X. Shi); Email: huangchengdai@163.com(C. Huang)
  • Corresponding author: Email: cxpnuaa@163.com(X. Chen) 
  • Fund Project: The authors were supported by Natural Science Foundation of Jiangsu Higher Education Institutions of China (Grant No. 20KJB110005) and Qing Lan Project of the Jiangsu Higher Education Institutions
  • This paper focuses on the stability and bifurcation in a fractional-order neutral-type inertial neural network with time delay. We mainly analyze the new system with time delay by using Cramer's rule to derive precise bifurcation conditions. The accuracy of the theoretical findings is ultimately confirmed through two numerical experiments. Moreover, the remarkable advantages of the fractional-order model are found in delaying the occurrence of inherent bifurcations and enhancing the stability performance.

    MSC: 93C43, 93D20
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