Kolemen, E., Egrioglu, E., Bas, E., & Turkmen, M. (2025). A new hybrid neural network based on gated recurrent unit and simple exponential smoothing for forecasting. Computing, 107(10). https://doi.org/10.1007/s00607-025-01549-1
ISO-690 (author-date, English)KOLEMEN, Emine, EGRIOGLU, Erol, BAS, Eren und TURKMEN, Mustafa, 2025. A new hybrid neural network based on gated recurrent unit and simple exponential smoothing for forecasting. Computing. 1 Oktober 2025. Vol. 107, no. 10, . DOI 10.1007/s00607-025-01549-1.
Modern Language Association 9th editionKolemen, E., E. Egrioglu, E. Bas, und M. Turkmen. „A New Hybrid Neural Network Based on Gated Recurrent Unit and Simple Exponential Smoothing for Forecasting“. Computing, Bd. 107, Nr. 10, Oktober 2025, https://doi.org/10.1007/s00607-025-01549-1.
Mohr Siebeck - Recht (Deutsch - Österreich)Kolemen, Emine/Egrioglu, Erol/Bas, Eren/Turkmen, Mustafa: A new hybrid neural network based on gated recurrent unit and simple exponential smoothing for forecasting, Computing 2025,
Emerald - HarvardKolemen, E., Egrioglu, E., Bas, E. und Turkmen, M. (2025), „A new hybrid neural network based on gated recurrent unit and simple exponential smoothing for forecasting“, Computing, Vol. 107 No. 10, verfügbar unter:https://doi.org/10.1007/s00607-025-01549-1.