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A comprehensive comparison between both neural networks and fuzzy logic models and the existing empirical formulae will be presented to demonstrate capacity of fuzzy logic and artificial neural network.
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Here, only the basic PO formulas will be presented, more details on the numerical implementation of the method can be found in [21].
In order to simplify the further considerations, the blocking probability for each traffic class, obtained on the basis of the model described by Formulas 17 21, will be presented in the form of the following functional dependence: {smallbegin{aligned} textbf{E}_{text{WCDMA}}=left{ left[E_{i,text{WCDMA}}right]_{M}: 1leq ileq Mright}=text{EIG} textbf{A}, textbf{t}, V, d, M), end{aligned}} (22).
Mean amplitudes will be normalised according to the following formula: Stimulus intensities will be presented as the ratio of the threshold intensity of the M-wave (Mth).
According to this formula, the numerical results of volumetric flow rate will be presented in the next section.
The analytical formula of the transmission penumbra depending on leaf position will be presented in this section.
This values will be presented.
NMR characterization will be presented.
"Coriolanus" will be presented Nov.
Both directors will be present.
Who will be present?
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