107 related articles for article (PubMed ID: 29347024)
1. Dimensionless embedding for nonlinear time series analysis.
Hirata Y; Aihara K
Phys Rev E; 2017 Sep; 96(3-1):032219. PubMed ID: 29347024
[TBL] [Abstract][Full Text] [Related]
2. OBSERVING LYAPUNOV EXPONENTS OF INFINITE-DIMENSIONAL DYNAMICAL SYSTEMS.
Ott W; Rivas MA; West J
J Stat Phys; 2015 Dec; 161(5):1098-1111. PubMed ID: 28066028
[TBL] [Abstract][Full Text] [Related]
3. Time series analyses of breathing patterns of lung cancer patients using nonlinear dynamical system theory.
Tewatia DK; Tolakanahalli RP; Paliwal BR; Tomé WA
Phys Med Biol; 2011 Apr; 56(7):2161-81. PubMed ID: 21389355
[TBL] [Abstract][Full Text] [Related]
4. Prediction in projection.
Garland J; Bradley E
Chaos; 2015 Dec; 25(12):123108. PubMed ID: 26723147
[TBL] [Abstract][Full Text] [Related]
5. Dynamics of some neural network models with delay.
Ruan J; Li L; Lin W
Phys Rev E Stat Nonlin Soft Matter Phys; 2001 May; 63(5 Pt 1):051906. PubMed ID: 11414932
[TBL] [Abstract][Full Text] [Related]
6. Controlled test for predictive power of Lyapunov exponents: their inability to predict epileptic seizures.
Lai YC; Harrison MA; Frei MG; Osorio I
Chaos; 2004 Sep; 14(3):630-42. PubMed ID: 15446973
[TBL] [Abstract][Full Text] [Related]
7. Recovering smooth dynamics from time series with the aid of recurrence plots.
Atay FM; Altintaş Y
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics; 1999 Jun; 59(6):6593-8. PubMed ID: 11969647
[TBL] [Abstract][Full Text] [Related]
8. SU-E-J-146: Time Series Prediction of Lung Cancer Patients' Breathing Pattern Based on Nonlinear Dynamics.
Tolakanahalli R; Tewatia D; Tome W
Med Phys; 2012 Jun; 39(6Part8):3686. PubMed ID: 28518937
[TBL] [Abstract][Full Text] [Related]
9. Reduced-order description of transient instabilities and computation of finite-time Lyapunov exponents.
Babaee H; Farazmand M; Haller G; Sapsis TP
Chaos; 2017 Jun; 27(6):063103. PubMed ID: 28679218
[TBL] [Abstract][Full Text] [Related]
10. Nonlinear time-series analysis revisited.
Bradley E; Kantz H
Chaos; 2015 Sep; 25(9):097610. PubMed ID: 26428563
[TBL] [Abstract][Full Text] [Related]
11. Delay differential analysis of time series.
Lainscsek C; Sejnowski TJ
Neural Comput; 2015 Mar; 27(3):594-614. PubMed ID: 25602777
[TBL] [Abstract][Full Text] [Related]
12. Estimation of dynamical invariants without embedding by recurrence plots.
Thiel M; Romano MC; Read PL; Kurths J
Chaos; 2004 Jun; 14(2):234-43. PubMed ID: 15189051
[TBL] [Abstract][Full Text] [Related]
13. Extracting messages masked by chaotic signals of time-delay systems.
Zhou C; Lai CH
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics; 1999 Jul; 60(1):320-3. PubMed ID: 11969766
[TBL] [Abstract][Full Text] [Related]
14. Attractor reconstruction for non-linear systems: a methodological note.
Nichols JM; Nichols JD
Math Biosci; 2001 May; 171(1):21-32. PubMed ID: 11325382
[TBL] [Abstract][Full Text] [Related]
15. Fluctuation of similarity to detect transitions between distinct dynamical regimes in short time series.
Malik N; Marwan N; Zou Y; Mucha PJ; Kurths J
Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Jun; 89(6):062908. PubMed ID: 25019852
[TBL] [Abstract][Full Text] [Related]
16. Estimating the Lyapunov spectrum of time delay feedback systems from scalar time series.
Hegger R
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics; 1999 Aug; 60(2 Pt A):1563-6. PubMed ID: 11969918
[TBL] [Abstract][Full Text] [Related]
17. Chaos and physiology: deterministic chaos in excitable cell assemblies.
Elbert T; Ray WJ; Kowalik ZJ; Skinner JE; Graf KE; Birbaumer N
Physiol Rev; 1994 Jan; 74(1):1-47. PubMed ID: 8295931
[TBL] [Abstract][Full Text] [Related]
18. Transition Manifolds of Complex Metastable Systems: Theory and Data-Driven Computation of Effective Dynamics.
Bittracher A; Koltai P; Klus S; Banisch R; Dellnitz M; Schütte C
J Nonlinear Sci; 2018; 28(2):471-512. PubMed ID: 29527099
[TBL] [Abstract][Full Text] [Related]
19. Randomly distributed embedding making short-term high-dimensional data predictable.
Ma H; Leng S; Aihara K; Lin W; Chen L
Proc Natl Acad Sci U S A; 2018 Oct; 115(43):E9994-E10002. PubMed ID: 30297422
[TBL] [Abstract][Full Text] [Related]
20. Using Lyapunov exponents to predict the onset of chaos in nonlinear oscillators.
Ryabov VB
Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Jul; 66(1 Pt 2):016214. PubMed ID: 12241468
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
