BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 34717323)

  • 1. Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing.
    Röhm A; Gauthier DJ; Fischer I
    Chaos; 2021 Oct; 31(10):103127. PubMed ID: 34717323
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Learning unseen coexisting attractors.
    Gauthier DJ; Fischer I; Röhm A
    Chaos; 2022 Nov; 32(11):113107. PubMed ID: 36456323
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning continuous chaotic attractors with a reservoir computer.
    Smith LM; Kim JZ; Lu Z; Bassett DS
    Chaos; 2022 Jan; 32(1):011101. PubMed ID: 35105129
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing.
    Tsuchiyama K; Röhm A; Mihana T; Horisaki R; Naruse M
    Chaos; 2023 Jun; 33(6):. PubMed ID: 37347641
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction.
    Hart JD
    Chaos; 2024 Apr; 34(4):. PubMed ID: 38579149
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Transfer learning of chaotic systems.
    Guo Y; Zhang H; Wang L; Fan H; Xiao J; Wang X
    Chaos; 2021 Jan; 31(1):011104. PubMed ID: 33754764
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reconstruction, forecasting, and stability of chaotic dynamics from partial data.
    Özalp E; Margazoglou G; Magri L
    Chaos; 2023 Sep; 33(9):. PubMed ID: 37671991
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Reservoir-computing based associative memory and itinerancy for complex dynamical attractors.
    Kong LW; Brewer GA; Lai YC
    Nat Commun; 2024 Jun; 15(1):4840. PubMed ID: 38844437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Templex: A bridge between homologies and templates for chaotic attractors.
    Charó GD; Letellier C; Sciamarella D
    Chaos; 2022 Aug; 32(8):083108. PubMed ID: 36049919
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting nonsmooth chaotic dynamics by reservoir computing.
    Shi L; Wang H; Wang S; Du R; Qu SX
    Phys Rev E; 2024 Jan; 109(1-1):014214. PubMed ID: 38366462
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Global forecasts in reservoir computers.
    Harding S; Leishman Q; Lunceford W; Passey DJ; Pool T; Webb B
    Chaos; 2024 Feb; 34(2):. PubMed ID: 38407397
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bistability and hidden attractors in the paradigmatic Rössler'76 system.
    Malasoma JM; Malasoma N
    Chaos; 2020 Dec; 30(12):123144. PubMed ID: 33380068
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Multifunctionality in a reservoir computer.
    Flynn A; Tsachouridis VA; Amann A
    Chaos; 2021 Jan; 31(1):013125. PubMed ID: 33754772
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Model-free prediction of multistability using echo state network.
    Roy M; Mandal S; Hens C; Prasad A; Kuznetsov NV; Dev Shrimali M
    Chaos; 2022 Oct; 32(10):101104. PubMed ID: 36319300
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.