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Neural networks have flexible function form consisting of linear and non-linear functional relationship, thus have unique advantage in the forecasting required in this paper.
Currently there exist various approaches that evolve control architectures to the next level, but none of them address flexible function deployment at the same time with legacy support.
Overflow risk is calculated by a flexible function which allows for the prioritisation of the discharge points according to their sensitivity and intended use.
The problem basically constitutes a highly non-linear phenomenon for which it is advisable to use a very flexible function approximator to draw case-specific heat transfer coefficient correlations from the experimental data alone.
Microsatellites, which are characterized by their small volume, small mass, short developing cycle, and flexible function, have become the hot study subject of astronautic research all over the world.
In this step, the conditional expectation of the outcome, Y i, given T i and R i, is modeled as a flexible function of its two arguments.
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The package provides flexible functions to search functional related gene products with a given gene product, a gene set, or even a list of biological key words as input.
Extremely flexible functioning becomes possible if the GOLE functionality is switched in response to earlier computations.
Such design integrates optical circuit switching (OCS) and optical packet switching (OPS) schemes via hybrid Top-of-the-Rack (ToR) switches which provide flexible function-switchover between different traffic patterns in the DCN.
We bring forward two types of arguments which convey the message that many currently popular machine learning approaches to learning flexible functions have fundamental limitations that render them inappropriate for learning highly varying functions.
First, improved generic and flexible functions are formulated for modeling the shape of leaves and stems of graminaceous plants as organ-related triangulated surfaces, where the parameters may be directly interpreted in terms of morphological traits.
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