Zobrazeno 1 - 10
of 188
pro vyhledávání: '"F. Takens"'
Symmetries in dynamical systems,'KAM theory and other perturbation theories','Infinite dimensional systems','Time series analysis'and'Numerical continuation and bifurcation analysis'were the main topics of the December 1995 Dynamical Systems Conferen
Autor:
E. A. Verbitskii, F. Takens
Publikováno v:
Mathematical Notes. 63:112-115
In this volume, the authors present a collection of surveys on various aspects of the theory of bifurcations of differentiable dynamical systems and related topics. By selecting these subjects, they focus on those developments from which research wil
Autor:
M. Artin, H. Bass, J. Eells, W. Feit, P.J. Freyd, F.W. Gehring, H. Halberstam, L.V. Hörmander, J.H.B. Kemperman, W.A.J. Luxemburg, F. Peterson, I.M. Singer, A.C. Zaanen, A. Björner, R.H. Dijkgraaf, A. Dimca, A.S. Dow, J.J. Duistermaat, E. Looijenga, J.P. May, I. Moerdijk, S.M. Mori, J.P. Palis, A. Schrijver, J. Sjöstrand, J.H.M. Steenbrink, F. Takens, J. van Mill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f64452cd52af0428210268feaea5a77
https://doi.org/10.1016/s0924-6509(13)70329-5
https://doi.org/10.1016/s0924-6509(13)70329-5
Publikováno v:
Computers in Cardiology, 2003.
Heart rate variability (HR V) may be measured using different measurement techniques. Almost all of these techniques deal with ectopic beats. Either these beats are excluded from the analysis or they are required. To access the functional character a
Publikováno v:
Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 54 (4)
Physical Review E, 54(4), 3545-3552. AMER PHYSICAL SOC
Physical Review E: Statistical, Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 54(4), 3545-3552. American Physical Society
Physical Review E, 54(4), 3545-3552. AMER PHYSICAL SOC
Physical Review E: Statistical, Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 54(4), 3545-3552. American Physical Society
A feedforward neural network was trained to predict the motion of an experimental, driven, and damped pendulum operating in a chaotic regime. The network learned the behavior of the pendulum from a time series of the pendulum's angle, the single meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e6c32dc1a0a85407f8309049ef21d79
http://resolver.tudelft.nl/uuid:7bda6b3d-b298-46a4-8f34-812fc3d249c3
http://resolver.tudelft.nl/uuid:7bda6b3d-b298-46a4-8f34-812fc3d249c3