Zobrazeno 1 - 10
of 433
pro vyhledávání: '"Passamante, A."'
Publikováno v:
Il Foro Italiano, 1910 Jan 01. 35, 135/136-137/138.
Externí odkaz:
https://www.jstor.org/stable/23110674
This volume serves as a general introduction to the state of the art of quantitatively characterizing chaotic and turbulent behavior. It is the outgrowth of an international workshop on'Quantitative Measures of Dynamical Complexity and Chaos'held at
Publikováno v:
Proceedings of the 2nd Experimental Chaos Conference; 1995, p115-121, 7p
Autor:
Wayland, Richard F., Bromley, David, Pickett, Douglas, Farrell, Mary Eileen, Passamante, Anthony
Publikováno v:
AIP Conference Proceedings; May1994, Vol. 296 Issue 1, p289-297, 9p
Publikováno v:
Physica D: Nonlinear Phenomena. 96:100-109
In this work we characterize data using the repeatability of similar data sequences (of length of the order of 5–100 times the embedding dimension) which are found in the data itself. A system which is constrained to move on a compact region of pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22a697eefd46fd1fda2ceef37d6b140
https://doi.org/10.1016/0167-2789(96)00015-2
https://doi.org/10.1016/0167-2789(96)00015-2
Publikováno v:
Physica D: Nonlinear Phenomena. 79:320-334
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b74e4aaf8b09465eff831969a9876d9
https://doi.org/10.1016/s0167-2789(05)80012-0
https://doi.org/10.1016/s0167-2789(05)80012-0
Publikováno v:
International Journal of Bifurcation and Chaos. :485-490
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93121a284620a479b903f68ba05b02df
https://doi.org/10.1142/s0218127493000398
https://doi.org/10.1142/s0218127493000398
Publikováno v:
International Journal of Bifurcation and Chaos. :797-802
The effect of the chosen forecasting method on the measured predictability of a noisy recurrent time series is investigated. Situations where the length of the time series is limited, and where the level of corrupting noise is significant are emphasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d029cdb4e7cbdc0f86e0ba1de4f82665
https://doi.org/10.1142/s0218127493000738
https://doi.org/10.1142/s0218127493000738
Publikováno v:
Physica D: Nonlinear Phenomena. 58:1-9
Backpropagating neural networks are used to reconstruct the attractors of two low-dimensional chaotic systems using small input sets of noise-corrupted data. The nets are able to reconstruct attractors that are visually similar to, and have the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c2cd2b022da030a74b7a23a5b7c196d
https://doi.org/10.1016/0167-2789(92)90098-8
https://doi.org/10.1016/0167-2789(92)90098-8
Publikováno v:
Physica D: Nonlinear Phenomena. 54:85-97
Correlation functions of up to fourth order are investigated numerically in search of a reliable window for embedding or reconstructing chaotic flows by the method of time delays. A number of these higher-order correlations display coincident extrema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd60713f1cd679606b69e7220b9d7289
https://doi.org/10.1016/0167-2789(91)90110-u
https://doi.org/10.1016/0167-2789(91)90110-u