Memory Property of Grey Accumulation Generation Sequence
Joint Authors
Wu, Lifeng
Chen, Yan
Gao, Xiaohui
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The influence of grey accumulation generation operator on the memory of time sequence is discussed.
Generalized Hurst exponent (GHE) approach is used to calculate the memory in three cases, namely, the M3-Competition data, the air quality index in Beijing, Xingtai, and Handan, and the power generating capacity, and car production index in Hebei province.
The result indicates that one order accumulation generation operator (1-AGO) can weaken the volatility and strengthen the memory of time sequence.
It also explains the reason that one-order accumulation can be used in grey prediction.
American Psychological Association (APA)
Wu, Lifeng& Gao, Xiaohui& Chen, Yan. 2019. Memory Property of Grey Accumulation Generation Sequence. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1133272
Modern Language Association (MLA)
Wu, Lifeng…[et al.]. Memory Property of Grey Accumulation Generation Sequence. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1133272
American Medical Association (AMA)
Wu, Lifeng& Gao, Xiaohui& Chen, Yan. Memory Property of Grey Accumulation Generation Sequence. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1133272
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133272
