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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03845-3
Abstract: AbstractTo add greater weight to new information, discrete grey model with the weighted accumulation (WDGM(1,1)) is put forward. This paper proved the stability of WDGM(1,1) disturbance boundary and the influence of the analysis parameter λ on…
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Keywords:
weighted accumulation;
grey model;
discrete grey;
model weighted ... See more keywords
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Published in 2017 at "Advances in Space Research"
DOI: 10.1016/j.asr.2016.10.030
Abstract: Abstract UT1-UTC predictions especially short-term predictions are essential in various fields linked to reference systems such as space navigation and precise orbit determinations of artificial Earth satellites. In this paper, an integrated model combining the…
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Keywords:
grey model;
neural networks;
model;
model neural ... See more keywords
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Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.07.009
Abstract: The fractional order grey models have appealed considerable interest of research in recent years due to its high effectiveness and flexibility in time series forecasting. However, the existing fractional order accumulation and difference are computationally…
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Keywords:
grey model;
conformable fractional;
accumulation difference;
grey ... See more keywords
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Published in 2021 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2021.126001
Abstract: Abstract In this paper, in order to accurately forecast the greenhouse gas (GHG) emissions at a national level, we propose a novel robust reweighted multivariate grey model, abbreviated as the RWGM(1,N), that reduces the potential…
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Keywords:
greenhouse gas;
model;
grey model;
multivariate grey ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2807805
Abstract: Accurate state-of-charge (SoC) estimation is crucial to guarantee the safety and reliability of lithium-ion batteries. This paper aimed to develop an advanced battery estimation method for electric vehicles based on the grey model without the…
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Keywords:
grey model;
state charge;
estimation;
model ... See more keywords
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Published in 2019 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2018.2866359
Abstract: To reduce the random error of the output data of a laser Doppler velocimeter (LDV) and improve its measurement accuracy, a new method to filter the drift data of the LDV is proposed: a metabolic…
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Keywords:
grey model;
time;
metabolic time;
time series ... See more keywords
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Published in 2020 at "Fractals"
DOI: 10.1142/s0218348x21500389
Abstract: In recent years, the grey-based models with fractional accumulation have received extensive attention by scholars and have been widely used in various fields. However, the existing rough construction of the background value in the fractional…
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Keywords:
fractional grey;
grey model;
value;
background value ... See more keywords
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Published in 2021 at "Journal of Mathematics"
DOI: 10.1155/2021/4959457
Abstract: The rapid development of industrialization leads to more and more serious air pollution, which affects human health and sustainable development of society. Predicting air quality is an important link in preventing air pollution and improving…
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Keywords:
air;
grey model;
air quality;
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Published in 2020 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/1550147720967894
Abstract: In order to guarantee the tag identification accuracy and efficiency in mobile radio frequency identification system, it is necessary to estimate the tags’ arrival rate before performing identification. This research aims to develop a novel…
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Keywords:
grey model;
estimation;
sliding window;
model ... See more keywords
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Published in 2021 at "Iranian Journal of Public Health"
DOI: 10.18502/ijph.v50i7.6630
Abstract: Background: We aimed to compare the prediction efficiency of back propagation (BP) network and grey model (GM) (1.1) for mumps infectious diseases and compare the application effect of the two models. Methods: By calculating the…
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Keywords:
incidence;
grey model;
network;
model ... See more keywords
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Published in 2017 at "Scienceasia"
DOI: 10.2306/scienceasia1513-1874.2017.43.312
Abstract: Correlation dimension analysis of EEG signals is widely used to access sleep stages. However, the standard Grassberger-Procaccia (GP) algorithm used to calculate the correlation dimension is very time consuming. To overcome this problem, an algorithm…
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Keywords:
grey model;
sleep stages;
analysis;
improved algorithm ... See more keywords