112 related articles for article (PubMed ID: 37200256)
1. A novel nonlinear grey Bernoulli model NGBM(1,1,t^p,α) and its application in forecasting the express delivery volume per capita in China.
Cheng M; Liu B
PLoS One; 2023; 18(5):e0285460. PubMed ID: 37200256
[TBL] [Abstract][Full Text] [Related]
2. An optimized Nash nonlinear grey Bernoulli model based on particle swarm optimization and its application in prediction for the incidence of Hepatitis B in Xinjiang, China.
Zhang L; Zheng Y; Wang K; Zhang X; Zheng Y
Comput Biol Med; 2014 Jun; 49():67-73. PubMed ID: 24747730
[TBL] [Abstract][Full Text] [Related]
3. A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm.
Guo X; Liu S; Yang Y
Comput Biol Med; 2019 Feb; 105():81-91. PubMed ID: 30599316
[TBL] [Abstract][Full Text] [Related]
4. Forecasting fuel combustion-related CO
Xie W; Wu WZ; Liu C; Zhang T; Dong Z
Environ Sci Pollut Res Int; 2021 Jul; 28(28):38128-38144. PubMed ID: 33725301
[TBL] [Abstract][Full Text] [Related]
5. An Optimized Damping Grey Population Prediction Model and Its Application on China's Population Structure Analysis.
Guo X; Zhang R; Shen H; Yang Y
Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36294055
[TBL] [Abstract][Full Text] [Related]
6. Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model.
An Y; Zou Z; Zhao Y
J Environ Sci (China); 2015 Mar; 29():158-64. PubMed ID: 25766025
[TBL] [Abstract][Full Text] [Related]
7. Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model.
Şahin U; Şahin T
Chaos Solitons Fractals; 2020 Sep; 138():109948. PubMed ID: 32834578
[TBL] [Abstract][Full Text] [Related]
8. Forecasting CO
Wang H; Zhang Z
Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564347
[TBL] [Abstract][Full Text] [Related]
9. The NLS-Based Nonlinear Grey Multivariate Model for Forecasting Pollutant Emissions in China.
Pei LL; Li Q; Wang ZX
Int J Environ Res Public Health; 2018 Mar; 15(3):. PubMed ID: 29517985
[TBL] [Abstract][Full Text] [Related]
10. An improved gray Bernoulli model for estimating the relationship between economic growth and pollution emissions.
Li Q; Wang ZX; Zhang XY
Environ Sci Pollut Res Int; 2020 Jul; 27(20):25638-25654. PubMed ID: 32356067
[TBL] [Abstract][Full Text] [Related]
11. Prediction and assessment of marine fisheries carbon sink in China based on a novel nonlinear grey Bernoulli model with multiple optimizations.
Li X; Yang J; Zhao Y; Zhou S; Wu Y
Sci Total Environ; 2024 Mar; 914():169769. PubMed ID: 38181964
[TBL] [Abstract][Full Text] [Related]
12. An MPA-based optimized grey Bernoulli model for China's petroleum consumption forecasting.
Wu WZ; Hu Z; Qi Q; Zhang T
Complex Intell Systems; 2023; 9(1):329-343. PubMed ID: 35791350
[TBL] [Abstract][Full Text] [Related]
13. What is the short-term outlook for the EU's natural gas demand? Individual differences and general trends based on monthly forecasts.
Li N; Wang J; Liu R; Zhong Y
Environ Sci Pollut Res Int; 2022 Nov; 29(51):78069-78091. PubMed ID: 35690702
[TBL] [Abstract][Full Text] [Related]
14. Forecast of clean energy generation in China based on new information priority nonlinear grey Bernoulli model.
Xiao J; Xiao X
Environ Sci Pollut Res Int; 2023 Nov; 30(51):110220-110239. PubMed ID: 37782369
[TBL] [Abstract][Full Text] [Related]
15. Forecasting education expenditure with a generalized conformable fractional-order nonlinear grey system model.
Liu C; Xu Z; Zhao K; Xie W
Heliyon; 2023 Jun; 9(6):e16499. PubMed ID: 37260892
[TBL] [Abstract][Full Text] [Related]
16. Predictions and mitigation strategies of PM
Zhou W; Wu X; Ding S; Ji X; Pan W
Environ Pollut; 2021 May; 276():116614. PubMed ID: 33618118
[TBL] [Abstract][Full Text] [Related]
17. Modelling and forecasting non-renewable energy consumption and carbon dioxide emissions in China using a PSO algorithm-based fractional non-linear grey Bernoulli model.
Yang J; Wu Z
Environ Sci Pollut Res Int; 2023 Jun; 30(26):69651-69665. PubMed ID: 37142841
[TBL] [Abstract][Full Text] [Related]
18. A novel grey power-Markov model for the prediction of China's electricity consumption.
Sun L; Yang Y; Ning T; Zhu J
Environ Sci Pollut Res Int; 2022 Mar; 29(15):21717-21738. PubMed ID: 34767163
[TBL] [Abstract][Full Text] [Related]
19. A grey NGM(1,1, k) self-memory coupling prediction model for energy consumption prediction.
Guo X; Liu S; Wu L; Tang L
ScientificWorldJournal; 2014; 2014():301032. PubMed ID: 25054174
[TBL] [Abstract][Full Text] [Related]
20. Estimating CO
Wang H; Wang Y
Environ Sci Pollut Res Int; 2022 Jul; 29(31):47050-47069. PubMed ID: 35175525
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
