Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Fractional order accumulation"'
Autor:
Huiping Wang, Yiyang Li
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e29960- (2024)
To accurately predict sequence data with seasonal characteristics, we combine data restart technology and fractional order accumulation into a novel seasonal grey model (FSGM (1,1, α)). The particle swarm optimization (PSO) algorithm is used to solv
Externí odkaz:
https://doaj.org/article/123059141d5943c4ae489c2989c692a9
Autor:
Wang, Huiping ⁎, Li, Yiyang
Publikováno v:
In Heliyon 15 May 2024 10(9)
Publikováno v:
Fractal and Fractional, Vol 8, Iss 9, p 536 (2024)
This study aims to predict the carbon sequestration capacity of Chinese grasslands to address climate change and achieve carbon neutrality goals. Grassland carbon sequestration is a crucial part of the global carbon cycle. However, its capacity is si
Externí odkaz:
https://doaj.org/article/0819996eacad49099958dc9f0aceb945
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-24 (2023)
Abstract Background Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry. This study constructed a combined optimization grey prediction model to predict the
Externí odkaz:
https://doaj.org/article/0b483af4250f4cc2b64eae3110296368
Autor:
Caixia Liu, Wanli Xie
Publikováno v:
AIMS Mathematics, Vol 8, Iss 2, Pp 3949-3968 (2023)
The fractional grey model is an effective tool for modeling small samples of data. Due to its essential characteristics of mathematical modeling, it has attracted considerable interest from scholars. A number of compelling methods have been proposed
Externí odkaz:
https://doaj.org/article/5c467777e01d4e4eb7fa2c37f9bfe4f6
Akademický článek
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Akademický článek
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Publikováno v:
Fractal and Fractional, Vol 7, Iss 6, p 422 (2023)
To accurately predict the time series of energy data, an optimized Hausdorff fractional grey seasonal model was proposed based on the complex characteristics of seasonal fluctuations and local random oscillations of seasonal energy data. This paper u
Externí odkaz:
https://doaj.org/article/a3300a5fe17047d991bcf153bd91c555
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 6, Pp 4687-4698 (2020)
Three indicators (GDP, PCDIIP-rh and Total Population) are selected in this paper to study the effect of sample length on forecasting validity of FGM(1,1). It has passed the test, such as development coefficient, mean relative error within the sample
Externí odkaz:
https://doaj.org/article/07e018a2dc514ddfab39a2fb740b62b9
Autor:
Zeng, Liang
Publikováno v:
Kybernetes, 2018, Vol. 48, Issue 6, pp. 1158-1174.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-02-2018-0078