These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 37831789)

  • 41. Weather forecasting based on data-driven and physics-informed reservoir computing models.
    Mammedov YD; Olugu EU; Farah GA
    Environ Sci Pollut Res Int; 2022 Apr; 29(16):24131-24144. PubMed ID: 34825327
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions.
    Bock FE; Keller S; Huber N; Klusemann B
    Materials (Basel); 2021 Apr; 14(8):. PubMed ID: 33920078
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Photonic next-generation reservoir computer based on distributed feedback in optical fiber.
    Cox N; Murray J; Hart J; Redding B
    Chaos; 2024 Jul; 34(7):. PubMed ID: 38953754
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Forecasting macroscopic dynamics in adaptive Kuramoto network using reservoir computing.
    Andreev AV; Badarin AA; Maximenko VA; Hramov AE
    Chaos; 2022 Oct; 32(10):103126. PubMed ID: 36319291
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Synchronization of chaotic systems and their machine-learning models.
    Weng T; Yang H; Gu C; Zhang J; Small M
    Phys Rev E; 2019 Apr; 99(4-1):042203. PubMed ID: 31108603
    [TBL] [Abstract][Full Text] [Related]  

  • 46. 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]  

  • 47. High-Performance Reservoir Computing With Fluctuations in Linear Networks.
    Nokkala J; Martinez-Pena R; Zambrini R; Soriano MC
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2664-2675. PubMed ID: 34460401
    [TBL] [Abstract][Full Text] [Related]  

  • 48. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
    Jin W; Dong S; Yu C; Luo Q
    Comput Biol Med; 2022 Jul; 146():105560. PubMed ID: 35551008
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation.
    Chen P; Liu R; Aihara K; Chen L
    Nat Commun; 2020 Sep; 11(1):4568. PubMed ID: 32917894
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Exploring nonlinear dynamics and network structures in Kuramoto systems using machine learning approaches.
    Song JU; Choi K; Oh SM; Kahng B
    Chaos; 2023 Jul; 33(7):. PubMed ID: 37486666
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing.
    Haluszczynski A; Räth C
    Chaos; 2019 Oct; 29(10):103143. PubMed ID: 31675800
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Reducing network size and improving prediction stability of reservoir computing.
    Haluszczynski A; Aumeier J; Herteux J; Räth C
    Chaos; 2020 Jun; 30(6):063136. PubMed ID: 32611106
    [TBL] [Abstract][Full Text] [Related]  

  • 53. 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]  

  • 54. Enhanced rainfall prediction performance via hybrid empirical-singular-wavelet-fuzzy approaches.
    Küllahcı K; Altunkaynak A
    Environ Sci Pollut Res Int; 2023 Apr; 30(20):58090-58108. PubMed ID: 36976466
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Biological neurons act as generalization filters in reservoir computing.
    Sumi T; Yamamoto H; Katori Y; Ito K; Moriya S; Konno T; Sato S; Hirano-Iwata A
    Proc Natl Acad Sci U S A; 2023 Jun; 120(25):e2217008120. PubMed ID: 37307467
    [TBL] [Abstract][Full Text] [Related]  

  • 56. 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]  

  • 57. 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]  

  • 58. 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]  

  • 59. Hierarchical deep learning of multiscale differential equation time-steppers.
    Liu Y; Kutz JN; Brunton SL
    Philos Trans A Math Phys Eng Sci; 2022 Aug; 380(2229):20210200. PubMed ID: 35719073
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Application of next-generation reservoir computing for predicting chaotic systems from partial observations.
    Ratas I; Pyragas K
    Phys Rev E; 2024 Jun; 109(6-1):064215. PubMed ID: 39021034
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.