BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 36175460)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data.
    Pathak J; Lu Z; Hunt BR; Girvan M; Ott E
    Chaos; 2017 Dec; 27(12):121102. PubMed ID: 29289043
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning Hamiltonian dynamics with reservoir computing.
    Zhang H; Fan H; Wang L; Wang X
    Phys Rev E; 2021 Aug; 104(2-1):024205. PubMed ID: 34525517
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting unstable periodic orbits based only on time series: When adaptive delayed feedback control meets reservoir computing.
    Zhu Q; Ma H; Lin W
    Chaos; 2019 Sep; 29(9):093125. PubMed ID: 31575157
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Reservoir Computing with Delayed Input for Fast and Easy Optimisation.
    Jaurigue L; Robertson E; Wolters J; Lüdge K
    Entropy (Basel); 2021 Nov; 23(12):. PubMed ID: 34945866
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Mapping topological characteristics of dynamical systems into neural networks: A reservoir computing approach.
    Chen X; Weng T; Yang H; Gu C; Zhang J; Small M
    Phys Rev E; 2020 Sep; 102(3-1):033314. PubMed ID: 33075895
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Chaotic time series prediction using phase space reconstruction based conceptor network.
    Zhang A; Xu Z
    Cogn Neurodyn; 2020 Dec; 14(6):849-857. PubMed ID: 33101536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.
    Wikner A; Harvey J; Girvan M; Hunt BR; Pomerance A; Antonsen T; Ott E
    Neural Netw; 2024 Feb; 170():94-110. PubMed ID: 37977092
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems.
    Chepuri R; Amzalag D; Antonsen TM; Girvan M
    Chaos; 2024 Jun; 34(6):. PubMed ID: 38838103
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing.
    Zhong Y; Tang J; Li X; Gao B; Qian H; Wu H
    Nat Commun; 2021 Jan; 12(1):408. PubMed ID: 33462233
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.