Complexity (New York, N.Y.), 2019-01, Vol.2019, p.1-10
2019
Details
- Autor(en) / Beteiligte
- Titel
- Memory Property of Grey Accumulation Generation Sequence
- Ist Teil von
- Complexity (New York, N.Y.), 2019-01, Vol.2019, p.1-10
- Ort / Verlag
- Hoboken: Hindawi
- Erscheinungsjahr
- 2019
- Link zum Volltext
- Quelle
- EZB Free E-Journals
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1076-2787eISSN: 1099-0526DOI: 10.1155/2019/9459038Titel-ID: cdi_doaj_primary_oai_doaj_org_article_a7341c7087d54e528c7d182e917a4bf1
- Format
- –
- Schlagworte
- Accumulation, Air pollution, Air quality, Air quality indexes, Convulsions & seizures, Data smoothing, Fault diagnosis, Grey prediction, Hydroelectric power, Optimization techniques, Organization theory, Outdoor air quality, Signal processing, Statistical mechanics, System theory, Time series, Volatility