180 related articles for article (PubMed ID: 34470249)
1. Stochastic approach for assessing the predictability of chaotic time series using reservoir computing.
Khovanov IA
Chaos; 2021 Aug; 31(8):083105. PubMed ID: 34470249
[TBL] [Abstract][Full Text] [Related]
2. On prediction of chaotic dynamics in semiconductor lasers by reservoir computing.
Li XZ; Yang B; Zhao S; Gu Y; Zhao M
Opt Express; 2023 Nov; 31(24):40592-40603. PubMed ID: 38041355
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.
Platt JA; Penny SG; Smith TA; Chen TC; Abarbanel HDI
Neural Netw; 2022 Sep; 153():530-552. PubMed ID: 35839598
[TBL] [Abstract][Full Text] [Related]
6. Predicting phase and sensing phase coherence in chaotic systems with machine learning.
Zhang C; Jiang J; Qu SX; Lai YC
Chaos; 2020 Aug; 30(8):083114. PubMed ID: 32872815
[TBL] [Abstract][Full Text] [Related]
7. Predicting chaotic dynamics from incomplete input via reservoir computing with (D+1)-dimension input and output.
Shi L; Yan Y; Wang H; Wang S; Qu SX
Phys Rev E; 2023 May; 107(5-1):054209. PubMed ID: 37329034
[TBL] [Abstract][Full Text] [Related]
8. Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction.
Fry D; Deshmukh A; Chen SY; Rastunkov V; Markov V
Sci Rep; 2023 Nov; 13(1):19326. PubMed ID: 37935730
[TBL] [Abstract][Full Text] [Related]
9. Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography.
Antonik P; Gulina M; Pauwels J; Massar S
Phys Rev E; 2018 Jul; 98(1-1):012215. PubMed ID: 30110744
[TBL] [Abstract][Full Text] [Related]
10. Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach.
Doan NAK; Polifke W; Magri L
Proc Math Phys Eng Sci; 2021 Sep; 477(2253):20210135. PubMed ID: 35153579
[TBL] [Abstract][Full Text] [Related]
11. Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing.
Cunillera A; Soriano MC; Fischer I
Chaos; 2019 Nov; 29(11):113113. PubMed ID: 31779359
[TBL] [Abstract][Full Text] [Related]
12. Reservoir computing with higher-order interactive coupled pendulums.
Li X; Small M; Lei Y
Phys Rev E; 2023 Dec; 108(6-1):064304. PubMed ID: 38243442
[TBL] [Abstract][Full Text] [Related]
13. Constructing polynomial libraries for reservoir computing in nonlinear dynamical system forecasting.
Ren HH; Bai YL; Fan MH; Ding L; Yue XX; Yu QH
Phys Rev E; 2024 Feb; 109(2-1):024227. PubMed ID: 38491629
[TBL] [Abstract][Full Text] [Related]
14. A hybrid proper orthogonal decomposition and next generation reservoir computing approach for high-dimensional chaotic prediction: Application to flow-induced vibration of tube bundles.
Liu T; Zhao X; Sun P; Zhou J
Chaos; 2024 Mar; 34(3):. PubMed ID: 38490185
[TBL] [Abstract][Full Text] [Related]
15. Time series reconstructing using calibrated reservoir computing.
Chen Y; Qian Y; Cui X
Sci Rep; 2022 Sep; 12(1):16318. PubMed ID: 36175460
[TBL] [Abstract][Full Text] [Related]
16. Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model.
Pathak J; Wikner A; Fussell R; Chandra S; Hunt BR; Girvan M; Ott E
Chaos; 2018 Apr; 28(4):041101. PubMed ID: 31906641
[TBL] [Abstract][Full Text] [Related]
17. Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach.
Pathak J; Hunt B; Girvan M; Lu Z; Ott E
Phys Rev Lett; 2018 Jan; 120(2):024102. PubMed ID: 29376715
[TBL] [Abstract][Full Text] [Related]
18. Reconstructing bifurcation diagrams of chaotic circuits with reservoir computing.
Luo H; Du Y; Fan H; Wang X; Guo J; Wang X
Phys Rev E; 2024 Feb; 109(2-1):024210. PubMed ID: 38491568
[TBL] [Abstract][Full Text] [Related]
19. Predicting the dynamical behaviors for chaotic semiconductor lasers by reservoir computing.
Li XZ; Sheng B; Zhang M
Opt Lett; 2022 Jun; 47(11):2822-2825. PubMed ID: 35648939
[TBL] [Abstract][Full Text] [Related]
20. Machine learning algorithms for predicting the amplitude of chaotic laser pulses.
Amil P; Soriano MC; Masoller C
Chaos; 2019 Nov; 29(11):113111. PubMed ID: 31779344
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
