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Our use of penalized regression techniques to model the functional data and construct the function signatures allows us to consider a relatively large number of individual annotation variables while controlling for over fitting.
In the present model, the functional derivative of the nonlinear gain function is given by δ S [ u ( x, t ) ] / δ u ( x, t ) = δ ( u ( x, t ) − θ ).
For the predator-prey model, the functional response is critical.
In the PF, a number of simulations have to be performed to model the functional h in Eq. (1).
Then, for each development scenario, we model the functional connectivity of habitats of the various target species using landscape graphs.
The BP neural network is employed to model the functional relationship between the input parameters and target responses.
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They distinguished the anatomical model from the functional model.
Modeling the functional characteristics of UTs helps us understand how their structures accomplish the functions at the atomic level, and facilitates future therapeutic design targeting the UTs.
Graph theory has become a popular tool for modelling the functional connectivity of landscapes.
Like for classical models, the functional d.o.f. are the mid-plane displacements and the shear rotations.
The artificial neuron has come a long way in modeling the functional capabilities of various neuronal processes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com