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 and 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 January 2022. P. 1-9. DOI 10.1007/s00500-021-06633-0.
Modern Language Association 9th editionLi, Y., J. Yang, and 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, Jan. 2022, pp. 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. and 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, pp. 1-9.