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.
155 related articles for article (PubMed ID: 37918270)
1. 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]
2. 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]
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. 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]
5. 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]
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. 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]
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]
10. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Vlachas PR; Pathak J; Hunt BR; Sapsis TP; Girvan M; Ott E; Koumoutsakos P Neural Netw; 2020 Jun; 126():191-217. PubMed ID: 32248008 [TBL] [Abstract][Full Text] [Related]
11. Reservoir based spiking models for univariate Time Series Classification. Gaurav R; Stewart TC; Yi Y Front Comput Neurosci; 2023; 17():1148284. PubMed ID: 37362059 [TBL] [Abstract][Full Text] [Related]
12. Enhancing Performance of Reservoir Computing System Based on Coupled MEMS Resonators. Zheng T; Yang W; Sun J; Xiong X; Wang Z; Li Z; Zou X Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33922571 [TBL] [Abstract][Full Text] [Related]
13. Minimum complexity echo state network. Rodan A; Tino P IEEE Trans Neural Netw; 2011 Jan; 22(1):131-44. PubMed ID: 21075721 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Reservoir Computing Using DNA Oscillators. Liu X; Parhi KK ACS Synth Biol; 2022 Feb; 11(2):780-787. PubMed ID: 35080379 [TBL] [Abstract][Full Text] [Related]
16. Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study. Shahi S; Fenton FH; Cherry EM Mach Learn Appl; 2022 Jun; 8():. PubMed ID: 35755176 [TBL] [Abstract][Full Text] [Related]
17. Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. Bianchi FM; Scardapane S; Lokse S; Jenssen R IEEE Trans Neural Netw Learn Syst; 2021 May; 32(5):2169-2179. PubMed ID: 32598284 [TBL] [Abstract][Full Text] [Related]