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Swarm intelligent computing of electric eel foraging heuristics for fractional Hammerstein autoregressive exogenous noise model identification
Regular Papers | Updated:2025-11-18
    • Swarm intelligent computing of electric eel foraging heuristics for fractional Hammerstein autoregressive exogenous noise model identification

    • 用于分数阶Hammerstein自回归外生噪声模型识别的电鳗觅食启发式群体智能计算
    • “In the field of fractional calculus, this study introduces a swarm intelligence-based parameter estimation of the fractional Hammerstein autoregressive exogenous noise model. Expert established the electric eel foraging optimization algorithm, which provides solutions to solve parameter estimation problems under multiple noise scenarios.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 1954-1968(2025)
    • DOI:10.1631/FITEE.2400730    

      CLC: TP271
    • Received:20 August 2024,

      Revised:2024-12-01,

      Published:2025-10

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  • Faisal ALTAF, Ching-Lung CHANG, Naveed Ishtiaq CHAUDHARY, et al. Swarm intelligent computing of electric eel foraging heuristics for fractional Hammerstein autoregressive exogenous noise model identification[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1954-1968. DOI: 10.1631/FITEE.2400730.

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