Sentence examples for model with adaptation from inspiring English sources

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The Takagi Sugeno fuzzy dynamic model with adaptation capability is used to approximate the nonlinear system.

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The systems used in the test use the gender-adapted models, with adaptation steps and test settings described in Section 3.4.

Among them are the deterministic I&F models with adaptation which are known for fitting well experimental data [17].

In section ' Dynamics of a 'Bubble' Boundary', we review the work of John (in an appropriately revised notation) on 2D bumps, as well as describe how to treat azimuthal instabilities, and the generation of breathing bumps in neural field models with adaptation and external drive.

The results show the more reliable performance than the method based on a conventional model with parameter adaptation.

In this context, we propose a "Mesh Constraint Topology" (MCT) model with automatic adaptation operators aimed at transforming a CAD model boundary decomposition into a FE model, featuring only mesh-relevant faces, edges and vertices, i.e., an explicit data model that is intrinsically adapted to the meshing process.

Nonetheless, the double WTA (model 3) and the single WTA with adaptation (model 2) similarly capture the smooth transition of relative dominance from one eye to the other when input strength is changed.

The two approaches were married by theoretical analysis of HH-type models with various adaptation currents appended [6 9].

We further show how to analyze neural field models with linear adaptation currents, and determine the conditions for the dynamic instability of spots that can give rise to breathers and traveling waves.

Our formulation for conductance-based models, with an adaptation current that is linear in a single gating variable, may not cover all possible cases, but it does include many typical ones, including two cases considered in [8] and [9], a voltage-dependent M-type (mathrm{K}^) current and an AHP current with a conductance that is linear in calcium.

The motion estimation is based on a strongly localized bio-inspired connectionist model with a particular adaptation of spatio-temporal Gabor-like filtering.

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