245 related articles for article (PubMed ID: 31779359)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Reservoir computing based on an external-cavity semiconductor laser with optical feedback modulation.
Kanno K; Haya AA; Uchida A
Opt Express; 2022 Sep; 30(19):34218-34238. PubMed ID: 36242440
[TBL] [Abstract][Full Text] [Related]
11. Reservoir computing as digital twins for nonlinear dynamical systems.
Kong LW; Weng Y; Glaz B; Haile M; Lai YC
Chaos; 2023 Mar; 33(3):033111. PubMed ID: 37003826
[TBL] [Abstract][Full Text] [Related]
12. Insights on correlation dimension from dynamics mapping of three experimental nonlinear laser systems.
McMahon CJ; Toomey JP; Kane DM
PLoS One; 2017; 12(8):e0181559. PubMed ID: 28837602
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Fast photonic information processing using semiconductor lasers with delayed optical feedback: role of phase dynamics.
Nguimdo RM; Verschaffelt G; Danckaert J; Van der Sande G
Opt Express; 2014 Apr; 22(7):8672-86. PubMed ID: 24718237
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Reservoir observers: Model-free inference of unmeasured variables in chaotic systems.
Lu Z; Pathak J; Hunt B; Girvan M; Brockett R; Ott E
Chaos; 2017 Apr; 27(4):041102. PubMed ID: 28456169
[TBL] [Abstract][Full Text] [Related]
17. Chaotic mode-competition dynamics in a multimode semiconductor laser with optical feedback and injection.
Iwami R; Kanno K; Uchida A
Opt Express; 2023 Mar; 31(7):11274-11291. PubMed ID: 37155767
[TBL] [Abstract][Full Text] [Related]
18. Predictive learning of multi-channel isochronal chaotic synchronization by utilizing parallel optical reservoir computers based on three laterally coupled semiconductor lasers with delay-time feedback.
Zhong D; Yang H; Xi J; Zeng N; Xu Z; Deng F
Opt Express; 2021 Feb; 29(4):5279-5294. PubMed ID: 33726067
[TBL] [Abstract][Full Text] [Related]
19. Predicting amplitude death with machine learning.
Xiao R; Kong LW; Sun ZK; Lai YC
Phys Rev E; 2021 Jul; 104(1-1):014205. PubMed ID: 34412238
[TBL] [Abstract][Full Text] [Related]
20. Forecasting the chaotic dynamics of external cavity semiconductor lasers.
Kai C; Li P; Yang Y; Wang B; Alan Shore K; Wang Y
Opt Lett; 2023 Mar; 48(5):1236-1239. PubMed ID: 36857263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
