American Psychological Association 6th edition

Braik, M., Al-Zoubi, H., & Al-Hiary, H. (2021). Artificial neural networks training via bio-inspired optimisation algorithms: modelling industrial winding process, case study. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 25(6), 4545-4569. https://doi.org/10.1007/s00500-020-05464-9

ISO-690 (author-date, English)

BRAIK, Malik, AL-ZOUBI, Hussein und AL-HIARY, Heba, 2021. Artificial neural networks training via bio-inspired optimisation algorithms: modelling industrial winding process, case study. Soft Computing: A Fusion of Foundations, Methodologies and Applications. 1 März 2021. Vol. 25, no. 6, p. 4545-4569. DOI 10.1007/s00500-020-05464-9.

Modern Language Association 9th edition

Braik, M., H. Al-Zoubi, und H. Al-Hiary. „Artificial Neural Networks Training via Bio-Inspired Optimisation Algorithms: Modelling Industrial Winding Process, Case Study“. Soft Computing: A Fusion of Foundations, Methodologies and Applications, Bd. 25, Nr. 6, März 2021, S. 4545-69, https://doi.org/10.1007/s00500-020-05464-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Braik, Malik/Al-Zoubi, Hussein/Al-Hiary, Heba: Artificial neural networks training via bio-inspired optimisation algorithms: modelling industrial winding process, case study, Soft Computing: A Fusion of Foundations, Methodologies and Applications 2021, 4545-4569.

Emerald - Harvard

Braik, M., Al-Zoubi, H. und Al-Hiary, H. (2021), „Artificial neural networks training via bio-inspired optimisation algorithms: modelling industrial winding process, case study“, Soft Computing: A Fusion of Foundations, Methodologies and Applications, Vol. 25 No. 6, S. 4545-4569.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.