271 related articles for article (PubMed ID: 32588684)
1. Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting.
Saâdaoui F; Messaoud OB
Int J Neural Syst; 2020 Aug; 30(8):2050039. PubMed ID: 32588684
[TBL] [Abstract][Full Text] [Related]
2. A four-stage hybrid model for hydrological time series forecasting.
Di C; Yang X; Wang X
PLoS One; 2014; 9(8):e104663. PubMed ID: 25111782
[TBL] [Abstract][Full Text] [Related]
3. Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.
Panja M; Chakraborty T; Kumar U; Liu N
Neural Netw; 2023 Aug; 165():185-212. PubMed ID: 37307664
[TBL] [Abstract][Full Text] [Related]
4. Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow.
Chen Q; Wen D; Li X; Chen D; Lv H; Zhang J; Gao P
PLoS One; 2019; 14(9):e0222365. PubMed ID: 31509599
[TBL] [Abstract][Full Text] [Related]
5. Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data.
Wang Z; Chen L; Zhu J; Chen H; Yuan H
Environ Sci Pollut Res Int; 2020 Oct; 27(30):37802-37817. PubMed ID: 32613510
[TBL] [Abstract][Full Text] [Related]
6. Forecasting stochastic neural network based on financial empirical mode decomposition.
Wang J; Wang J
Neural Netw; 2017 Jun; 90():8-20. PubMed ID: 28364677
[TBL] [Abstract][Full Text] [Related]
7. A new hybrid PM[Formula: see text] volatility forecasting model based on EMD and machine learning algorithms.
Wang P; Bi X; Zhang G; Yu M
Environ Sci Pollut Res Int; 2023 Jul; 30(34):82878-82894. PubMed ID: 37335511
[TBL] [Abstract][Full Text] [Related]
8. Comparative optimization of global solar radiation forecasting using machine learning and time series models.
Belmahdi B; Louzazni M; El Bouardi A
Environ Sci Pollut Res Int; 2022 Feb; 29(10):14871-14888. PubMed ID: 34625894
[TBL] [Abstract][Full Text] [Related]
9. Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends.
Liu S; Ji H; Wang MC
IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):2879-2888. PubMed ID: 31494562
[TBL] [Abstract][Full Text] [Related]
10. Daily air quality index forecasting with hybrid models: A case in China.
Zhu S; Lian X; Liu H; Hu J; Wang Y; Che J
Environ Pollut; 2017 Dec; 231(Pt 2):1232-1244. PubMed ID: 28939124
[TBL] [Abstract][Full Text] [Related]
11. Deep LSTM-Based Transfer Learning Approach for Coherent Forecasts in Hierarchical Time Series.
Sagheer A; Hamdoun H; Youness H
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34206750
[TBL] [Abstract][Full Text] [Related]
12. A novel compound wind speed forecasting model based on the back propagation neural network optimized by bat algorithm.
Cui Y; Huang C; Cui Y
Environ Sci Pollut Res Int; 2020 Mar; 27(7):7353-7365. PubMed ID: 31884551
[TBL] [Abstract][Full Text] [Related]
13. Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.
de Mattos Neto PSG; de Oliveira JFL; Bassetto P; Siqueira HV; Barbosa L; Alves EP; Marinho MHN; Rissi GF; Li F
Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884100
[TBL] [Abstract][Full Text] [Related]
14. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
15. A Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain.
Barba L; Rodríguez N
Comput Intell Neurosci; 2017; 2017():7951395. PubMed ID: 28261267
[TBL] [Abstract][Full Text] [Related]
16. A hybrid model for forecasting of particulate matter concentrations based on multiscale characterization and machine learning techniques.
Ali Shah SA; Aziz W; Almaraashi M; Ahmed Nadeem MS; Habib N; Shim SO
Math Biosci Eng; 2021 Mar; 18(3):1992-2009. PubMed ID: 33892534
[TBL] [Abstract][Full Text] [Related]
17. Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model.
Chen L; Liu X; Zeng C; He X; Chen F; Zhu B
Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957299
[TBL] [Abstract][Full Text] [Related]
18. Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.
Wang Y; Xu C; Ren J; Li Y; Wu W; Yao S
Environ Sci Pollut Res Int; 2021 Feb; 28(6):7281-7294. PubMed ID: 33026621
[TBL] [Abstract][Full Text] [Related]
19. Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networks.
Chang LC; Chen PA; Chang FJ
IEEE Trans Neural Netw Learn Syst; 2012 Aug; 23(8):1269-78. PubMed ID: 24807523
[TBL] [Abstract][Full Text] [Related]
20. Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition.
Fernández-Martínez D; Jaramillo-Morán MA
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632071
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]