These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
135 related articles for article (PubMed ID: 35258438)
1. A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems. Long L; Liu Q; Peng H; Yang Q; Luo X; Wang J; Song X Int J Neural Syst; 2022 Aug; 32(8):2250020. PubMed ID: 35258438 [TBL] [Abstract][Full Text] [Related]
2. Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. Long L; Liu Q; Peng H; Wang J; Yang Q Neural Netw; 2022 Aug; 152():300-310. PubMed ID: 35594758 [TBL] [Abstract][Full Text] [Related]
3. A Prediction Model Based on Gated Nonlinear Spiking Neural Systems. Zhang Y; Yang Q; Liu Z; Peng H; Wang J Int J Neural Syst; 2023 May; 33(6):2350029. PubMed ID: 37053009 [TBL] [Abstract][Full Text] [Related]
4. Reservoir computing models based on spiking neural P systems for time series classification. Peng H; Xiong X; Wu M; Wang J; Yang Q; Orellana-Martín D; Pérez-Jiménez MJ Neural Netw; 2024 Jan; 169():274-281. PubMed ID: 37918270 [TBL] [Abstract][Full Text] [Related]
5. Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series. Liu Q; Peng H; Long L; Wang J; Yang Q; Perez-Jimenez MJ; Orellana-Martin D IEEE Trans Cybern; 2024 Mar; 54(3):1841-1853. PubMed ID: 37155381 [TBL] [Abstract][Full Text] [Related]
6. Edge Detection Method Based on Nonlinear Spiking Neural Systems. Xian R; Lugu R; Peng H; Yang Q; Luo X; Wang J Int J Neural Syst; 2023 Jan; 33(1):2250060. PubMed ID: 36328966 [TBL] [Abstract][Full Text] [Related]
7. Nonlinear Spiking Neural P Systems. Peng H; Lv Z; Li B; Luo X; Wang J; Song X; Wang T; Pérez-Jiménez MJ; Riscos-Núñez A Int J Neural Syst; 2020 Oct; 30(10):2050008. PubMed ID: 32169006 [TBL] [Abstract][Full Text] [Related]
8. Universal Nonlinear Spiking Neural P Systems with Delays and Weights on Synapses. Wang L; Liu X; Zhao Y Comput Intell Neurosci; 2021; 2021():3285719. PubMed ID: 34484319 [TBL] [Abstract][Full Text] [Related]
9. Gated Spiking Neural P Systems for Time Series Forecasting. Liu Q; Long L; Peng H; Wang J; Yang Q; Song X; Riscos-Nunez A; Perez-Jimenez MJ IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6227-6236. PubMed ID: 34936560 [TBL] [Abstract][Full Text] [Related]
10. Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications. Kharazihai Isfahani M; Zekri M; Marateb HR; Mañanas MA PLoS One; 2019; 14(12):e0224075. PubMed ID: 31816627 [TBL] [Abstract][Full Text] [Related]
11. An Improved Wavelet Packet-Chaos Model for Life Prediction of Space Relays Based on Volterra Series. Li L; Han Y; Chen W; Lv C; Sun D PLoS One; 2016; 11(6):e0158435. PubMed ID: 27355578 [TBL] [Abstract][Full Text] [Related]
12. 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]
14. Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. Jin XB; Zhang JH; Su TL; Bai YT; Kong JL; Wang XY Comput Intell Neurosci; 2021; 2021():8810046. PubMed ID: 34234823 [TBL] [Abstract][Full Text] [Related]
15. Wavelet LSTM for Fault Forecasting in Electrical Power Grids. Branco NW; Cavalca MSM; Stefenon SF; Leithardt VRQ Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366021 [TBL] [Abstract][Full Text] [Related]
16. Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems. Milić M; Milojković J; Marković I; Nikolić P Comput Intell Neurosci; 2019; 2019():9323482. PubMed ID: 31065257 [TBL] [Abstract][Full Text] [Related]
17. Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting. Alenezy AH; Ismail MT; Jaber JJ; Wadi SA; Alkhawaldeh RS PLoS One; 2022; 17(12):e0278835. PubMed ID: 36490280 [TBL] [Abstract][Full Text] [Related]
18. Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Racca A; Magri L Neural Netw; 2021 Oct; 142():252-268. PubMed ID: 34034072 [TBL] [Abstract][Full Text] [Related]
19. Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network. Yao X; Wang Z; Zhang H Neural Netw; 2019 May; 113():11-19. PubMed ID: 30772597 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]