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Four well-known traditional SRGMs are combined based on the dynamically evaluated weights determined by the learning algorithm of the proposed FFNN.
Monte Carlo simulations combined with analytic results based on the dynamically disordered hopping model are used to show that even in the presence of ion-ion interactions, the conductivity of polymer electrolytes is diffusion dominated.
In this paper a new neural network combination model based on the dynamically evaluated weights is proposed in order to improve the goodness of fit of already proposed traditional SRGMs and ANN based combination models.
The links in a network can be switched on/off based on the dynamically managed two threshold levels.
By conducting decomposition, combination, concurrent execution, and admission control, their proposed method allocates tasks based on the dynamically changed available energy.
In [10] the authors propose a mixture of non-homogeneous Poisson processes to discover the latent customer groups and conduct the soft-membership customer segmentation based on the dynamically observed purchase behavior.
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We develop a new robust methodology for the stochastic Navier Stokes equations based on the dynamically-orthogonal (DO) and bi-orthogonal (BO) methods [1], [2], [3].
Ben's responses are analyzed with reference to a model of abstraction based on the three dynamically nested epistemic actions of constructing, recognizing and building-with.
Therefore, unlike that for conventional manipulators, our approach is to design and control a hyper dynamic manipulator based on the utilization of dynamically coupled driving and structural joint stops.
A different approach is proposed based on the concept of Dynamically Accessible Volume (DAV) due to the difficulties encountered in the characterization of this heterogeneity by means of the distribution of relaxation times.
Here, a designed fuzzy-PID controller for stabilization purpose of orientational phase of a docking maneuver is presented based on the Single Input Fuzzy Inference Motor (SIFIMs) dynamically connected Preferrer Fuzzy Inference Motor (PFIM).
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