ISO-690 (author-date, English)

EKINCI, Serdar, IZCI, Davut und KAYRI, Murat, 2025. Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems. International Journal of Modelling & Simulation. 1 Juni 2025. Vol. 45, no. 3, p. 838-852. DOI 10.1080/02286203.2023.2240564.

Elsevier - Harvard (with titles)

Ekinci, S., Izci, D., Kayri, M., 2025. Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems. International Journal of Modelling & Simulation 45, 838-852. https://doi.org/10.1080/02286203.2023.2240564

American Psychological Association 7th edition

Ekinci, S., Izci, D., & Kayri, M. (2025). Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems. International Journal of Modelling & Simulation, 45(3), 838-852. https://doi.org/10.1080/02286203.2023.2240564

Springer - Basic (author-date)

Ekinci S, Izci D, Kayri M (2025) Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems.. International Journal of Modelling & Simulation 45:838-852. https://doi.org/10.1080/02286203.2023.2240564

Juristische Zitierweise (Stüber) (Deutsch)

Ekinci, Serdar/ Izci, Davut/ Kayri, Murat, Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems., International Journal of Modelling & Simulation 2025, 838-852.

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