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The approximating function M D × C → {0, 1} is called a classifier.
The approximating function of solubility obtained by Design-Expert software [35] is given in Eq. (2).
Under this architecture, the output approximating function is the nonlinear combination of input feature vector with internal tunable weight vector.
We approximate the term by introducing the Ambrosio-Tortorelli approximating function [17], where in the sense of distributions.
The experimental results were evaluated and the approximating function of carbaryl biosorption capacity of biosorbent was obtained in Eq. (5) by utilizing Design Expert software.
(1.3) The authors of [2] investigated a bound of the approximating function from the class (E_{sigma} varphi)) by the sinc-Gaussian operator.
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Different types of wavelets and approximating functions have been used in numerical approximations.
The wind speed distribution with height is analyzed, and the coefficients of approximating functions calculated.
The method is based on approximating functions and their derivatives by using the Whittaker cardinal function.
Unlike the conventional fully connected feedforward multilayer neural networks for approximating functions on continuous input spaces, this paper investigates simplified neural networks (which use a common linear function in the hidden layer) for approximating functions on discrete input spaces.
This type of approximating functions has a faster rate of convergence as compared to the polynomial co-ordinate functions.
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