138 related articles for article (PubMed ID: 34982700)
1. Interpretable Design of Reservoir Computing Networks Using Realization Theory.
Miao W; Narayanan V; Li JS
IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6379-6389. PubMed ID: 34982700
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Observability and Controllability of Nonlinear Networks: The Role of Symmetry.
Whalen AJ; Brennan SN; Sauer TD; Schiff SJ
Phys Rev X; 2015; 5(1):. PubMed ID: 30443436
[TBL] [Abstract][Full Text] [Related]
4. Sequential Video VLAD: Training the Aggregation Locally and Temporally.
Xu Y; Han Y; Hong R; Tian Q
IEEE Trans Image Process; 2018 Oct; 27(10):4933-4944. PubMed ID: 29985134
[TBL] [Abstract][Full Text] [Related]
5. Emerging opportunities and challenges for the future of reservoir computing.
Yan M; Huang C; Bienstman P; Tino P; Lin W; Sun J
Nat Commun; 2024 Mar; 15(1):2056. PubMed ID: 38448438
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Efficient forecasting of chaotic systems with block-diagonal and binary reservoir computing.
Ma H; Prosperino D; Haluszczynski A; Räth C
Chaos; 2023 Jun; 33(6):. PubMed ID: 37307160
[TBL] [Abstract][Full Text] [Related]
9. Next generation reservoir computing.
Gauthier DJ; Bollt E; Griffith A; Barbosa WAS
Nat Commun; 2021 Sep; 12(1):5564. PubMed ID: 34548491
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Machine-learning potential of a single pendulum.
Mandal S; Sinha S; Shrimali MD
Phys Rev E; 2022 May; 105(5-1):054203. PubMed ID: 35706182
[TBL] [Abstract][Full Text] [Related]
12. Persistent Memory in Single Node Delay-Coupled Reservoir Computing.
Kovac AD; Koall M; Pipa G; Toutounji H
PLoS One; 2016; 11(10):e0165170. PubMed ID: 27783690
[TBL] [Abstract][Full Text] [Related]
13. Recent advances in physical reservoir computing: A review.
Tanaka G; Yamane T; Héroux JB; Nakane R; Kanazawa N; Takeda S; Numata H; Nakano D; Hirose A
Neural Netw; 2019 Jul; 115():100-123. PubMed ID: 30981085
[TBL] [Abstract][Full Text] [Related]
14. Model-free forecasting of partially observable spatiotemporally chaotic systems.
Gupta V; Li LKB; Chen S; Wan M
Neural Netw; 2023 Mar; 160():297-305. PubMed ID: 36716509
[TBL] [Abstract][Full Text] [Related]
15. Interpretable Graph Reservoir Computing With the Temporal Pattern Attention.
Han X; Zhao Y
IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):9198-9212. PubMed ID: 37015648
[TBL] [Abstract][Full Text] [Related]
16. Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers.
Platt JA; Penny SG; Smith TA; Chen TC; Abarbanel HDI
Chaos; 2023 Oct; 33(10):. PubMed ID: 37788385
[TBL] [Abstract][Full Text] [Related]
17. Delayed dynamical systems: networks, chimeras and reservoir computing.
Hart JD; Larger L; Murphy TE; Roy R
Philos Trans A Math Phys Eng Sci; 2019 Sep; 377(2153):20180123. PubMed ID: 31329059
[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. 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]
20. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
Pezard L; Nandrino JL
Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]