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In particular, we propose a methodology that permits to consider the identification of HDS in terms of the architectures and the learning algorithms developed for Feed-Forward neural networks.
Let us consider the identification problem for Chen system.
As an essential precondition for effective policy-design we consider the identification of country-specific patterns of C&T-trade and beyond, their relation to international developments, as were identified in this paper.
Consider the identification problem ((mathcal{IP}1)) where M and L are two closed linear operators in X with (mathcal{D} L subset mathcal{D} M) ), L being invertible, with the property that (lambda =0) is a pole of order (k+1), (k=0,1,2,ldots ) , of the bounded operator (L lambda L-M ^{-1}), (z,v_{0}in X), (gin mathcaL-M ^{-1}[0, L-M ^{-1}hbb{R} )) and (phi in X^{ast }).
We consider the identification of a comprehensive priority-set of areas as a first step towards an in-situ biodiversity maintenance strategy.
However, the number of identified proteins varies significantly depending on the criteria chosen to consider the identification as a positive hit (% confidence and minimum number of peptides per protein).
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This paper considers the identification of Wiener–Hammerstein systems using Least-Squares Support Vector Machines based models.
This paper considers the identification of the modules of a network of locally controlled systems (multi-agent systems).
This paper considers the identification and control of friction in a high load torque DC motor to the end of achieving accurate tracking.
This article considers the identification of state dependent parameter (SDP) models for the hydraulically actuated dual manipulators of a mobile robot used for nuclear decommissioning tasks.
The proposed approach considers the identification of HDS in terms of the architectures and the learning algorithms developed for Feed-Forward neural networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com