Li, Y., Yang, J., & Wang, Y. (2022). Time series prediction method for continuous spares requirement based on recursive decomposition of information compression matrix. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 1-9. https://doi.org/10.1007/s00500-021-06633-0
ISO-690 (author-date, English)LI, Yanfen, YANG, Jingyi und WANG, Yuancong, 2022. Time series prediction method for continuous spares requirement based on recursive decomposition of information compression matrix. Soft Computing: A Fusion of Foundations, Methodologies and Applications. 11 Januar 2022. P. 1-9. DOI 10.1007/s00500-021-06633-0.
Modern Language Association 9th editionLi, Y., J. Yang, und Y. Wang. „Time Series Prediction Method for Continuous Spares Requirement Based on Recursive Decomposition of Information Compression Matrix“. Soft Computing: A Fusion of Foundations, Methodologies and Applications, Januar 2022, S. 1-9, https://doi.org/10.1007/s00500-021-06633-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Li, Yanfen/Yang, Jingyi/Wang, Yuancong: Time series prediction method for continuous spares requirement based on recursive decomposition of information compression matrix, Soft Computing: A Fusion of Foundations, Methodologies and Applications 2022, 1-9.
Emerald - HarvardLi, Y., Yang, J. und Wang, Y. (2022), „Time series prediction method for continuous spares requirement based on recursive decomposition of information compression matrix“, Soft Computing: A Fusion of Foundations, Methodologies and Applications, S. 1-9.