Memory Property of Grey Accumulation Generation Sequence
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 generati...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/9459038 |
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| _version_ | 1832551480053202944 |
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| author | Lifeng Wu Xiaohui Gao Yan Chen |
| author_facet | Lifeng Wu Xiaohui Gao Yan Chen |
| author_sort | Lifeng Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a7341c7087d54e528c7d182e917a4bf1 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a7341c7087d54e528c7d182e917a4bf12025-02-03T06:01:19ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/94590389459038Memory Property of Grey Accumulation Generation SequenceLifeng Wu0Xiaohui Gao1Yan Chen2College of Economics and Management, Hebei University of Engineering, Handan 056038, ChinaCollege of Economics and Management, Hebei University of Engineering, Handan 056038, ChinaCollege of Economics and Management, Hebei University of Engineering, Handan 056038, ChinaThe 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.http://dx.doi.org/10.1155/2019/9459038 |
| spellingShingle | Lifeng Wu Xiaohui Gao Yan Chen Memory Property of Grey Accumulation Generation Sequence Complexity |
| title | Memory Property of Grey Accumulation Generation Sequence |
| title_full | Memory Property of Grey Accumulation Generation Sequence |
| title_fullStr | Memory Property of Grey Accumulation Generation Sequence |
| title_full_unstemmed | Memory Property of Grey Accumulation Generation Sequence |
| title_short | Memory Property of Grey Accumulation Generation Sequence |
| title_sort | memory property of grey accumulation generation sequence |
| url | http://dx.doi.org/10.1155/2019/9459038 |
| work_keys_str_mv | AT lifengwu memorypropertyofgreyaccumulationgenerationsequence AT xiaohuigao memorypropertyofgreyaccumulationgenerationsequence AT yanchen memorypropertyofgreyaccumulationgenerationsequence |