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As mentioned in Section 3, it is also important to generate a rigid framework to choose different types, sizes and shapes of basis functions to generate the best reconstruction.
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The classifier model generated from LMT is a single tree with different shapes on basis of various types of training data.
Then, the parameters of RBF network, including the network weight, the position, and shape of basis functions, are modified adaptively until the error signal between the network output a and the expected output reaches the minimum value.
Then, the parameters of RBF network, including network weight w, the position and shape of basis functions (i.e., f i and μ i ), are modified iteratively until the error signal between the network output S f) and expected output G(f) reaches the minimum value.
Draw the basic shapes for basis of our drawing.
Sketch in shapes for basis of the body as shown.
Since the shaping of the basis functions depends on the knowledge of the dispersion relation for a given set-up, this work considers both numerically simulated ([6]) and experimentally generated ([5]) time-domain signals of Lamb waves in an aluminum plate to evaluate the robustness of the CT-based algorithm as well as its performance.
In general, this model assumes that the number of basis shapes should be known, an inaccurate choice that can lead to performance drop.
In plants and insects, RNA interference (RNAi) is the main responder against viruses and shapes the basis of antiviral immunity.
The interpretations of the findings are shaped on the basis of triangulation of four sources of data, as well as of our in-depth knowledge in this field.
In this paper, we propose instead a technique to optimize the shape of a constant number of basis functions for the approximate, fuzzy Q-iteration algorithm.
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