Melanin
发表于 2025-3-21 20:00:15
书目名称Nonlinear Dynamics and Statistics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0667430<br><br> <br><br>书目名称Nonlinear Dynamics and Statistics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0667430<br><br> <br><br>
CANT
发表于 2025-3-21 21:18:14
Book 2001ok describes the current state of the art of telling useful lies about time-varying systems in the real world. Specifically, it is about trying to "understand" (that is, tell useful lies about) dynamical systems directly from observa tions, either because they are too complex to model in the conven
HAIL
发表于 2025-3-22 04:24:46
Removing the Noise from Chaos Plus Noisehe underlying dynamical system admits bomoclinic pairs. It is also shown that consistent signal extraction is possible when the errors are uniformly bounded by a suitable constant and the underlying dynamical system has the “weak orbit separation property”. Simple algorithms for signal recovery are described in the latter case.
河潭
发表于 2025-3-22 06:27:13
Consistent Estimation of a Dynamical Mapn the second, dynamical noise model, the system is perturbed by independent noise between each application of F. Estimates of F are proposed for each model, and are shown to be consistent under general conditions. No assumptions are made regarding mixing rates of the observations. Both continuous and general measurable maps F are considered.
好忠告人
发表于 2025-3-22 10:42:34
Formulas for the Eckmann-Ruelle Matrixted Jacobian, which we call the Eckmann-Ruelle matrix, reflects details of the embedding rather than the underlying dynamics. We establish formulas for the expected values of the entries of the Eckmann-Ruelle matrix, in both the presence and absence of observational noise.
investigate
发表于 2025-3-22 16:27:55
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Apoptosis
发表于 2025-3-22 18:11:19
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未完成
发表于 2025-3-22 23:38:51
Data Compression, Dynamics, and Stationarityto estimate many of the usual dynamically interesting quantities such as topological entropy. They are also well-suited for a specific new application: testing the stationarity of time-series of discrete symbols, whether two data streams appear to originate from the same underlying unknown dynamical system.
丰满中国
发表于 2025-3-23 05:07:58
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Hyperopia
发表于 2025-3-23 09:04:37
Noise and Nonlinearity in an Ecological Systemto their physical environment. Such models provide better forecasts than can be achieved with conventional linear techniques and identify processes hidden to linear analysis. The importance of understanding the interplay between noise and nonlinearity in ecological systems is discussed.