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Titlebook: Advanced Methods of Physiological System Modeling; Volume 2 Vasilis Z. Marmarelis Book 1989 Plenum Press, New York 1989 classification.deve

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21#
發(fā)表于 2025-3-25 05:59:23 | 只看該作者
22#
發(fā)表于 2025-3-25 07:59:16 | 只看該作者
Dermatologische Erkrankungen des Anorektumslinear differential equations and the Wiener (white noise) analysis of nonlinear feedback systems. These two problems can be addressed in the same methodological context, as explained below. The importance of this issue derives from the desire to relate parametric (i.e., differential equations) mode
23#
發(fā)表于 2025-3-25 11:48:02 | 只看該作者
Jochen Lange,Bernward M?lle,Josef Gironae principal variation corresponding to the location and size of the activity. Figure 1 provides examples of the temporal variation of the level of concentration of a particular hormone in the blood stream of a cow. One analytic representation for such processes is provided by. with the Gj the times
24#
發(fā)表于 2025-3-25 16:55:17 | 只看該作者
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發(fā)表于 2025-3-25 21:09:11 | 只看該作者
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發(fā)表于 2025-3-26 02:30:51 | 只看該作者
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發(fā)表于 2025-3-26 06:58:31 | 只看該作者
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發(fā)表于 2025-3-26 11:47:33 | 只看該作者
29#
發(fā)表于 2025-3-26 16:33:42 | 只看該作者
https://doi.org/10.1007/3-540-29037-0r is viewed as a functional on a phase space of input histories. To calculate the represention of the nonlinear transducer as an orthogonal expansion of standard functionals, one must perform certain integrations over the entire phase space. These integrations amount to cross-correlations of the res
30#
發(fā)表于 2025-3-26 16:57:44 | 只看該作者
https://doi.org/10.1007/3-540-29037-0 system identification, our model takes the form of a nonlinear difference equation, whose significant terms are to be deter mined and whose coefficients estimated. The system may also be modelled by a functional expansion whose kernels (a constant, and one- and multidimensional weighting functions)
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