Sentence examples for approximation of input from inspiring English sources

The activation of output layer is given as below: begin{aligned} hat{x}_{l}=f(W_2 a_h+B_2), end{aligned} (3)where the (hat{x}_{l}^{(i }in {R^m}) is output vector, a nonlinear approximation of input vector (x_{l}^{(i)}).

The multi-layered network generally uses for accomplishing the global approximation of input-output mapping but sometimes getting stuck into local minima, while the nonlinear radial basis function (RBF) network is based on exponentially decaying that uses for local approximation to input-output mapping.

The simulated network is a simple approximation of inputs and recurrent connections to a patch of cortex.

The architecture is designed to generate an output per clock cycle, and the detailed component and the approximation of the input signal are available alternately.

A simultaneous sparse coding algorithm makes approximation of several input signals at the same time using different linear combinations of the same elementary signals [28].

Then, we discuss the meshless approximation of an input scalar function by preserving its persistent critical points and its local behaviour, as encoded by the spatial distribution and shape of the level-sets.

In this paper we propose an adaptive 3D image data pre-processing technique for generating a continuous approximation of an input image representing some material data, along with a finite element mesh aligned to the properties of the material, which can be used as the initial mesh for a further hp-adaptive finite element analysis.

- The first key difference from PCA is that PLS computes an orthogonal factorization of the input vector X and response y (note: y can also be a vector) in the process of computing the projection matrix W. - The second key difference from PCA is that the least squares model for K-PLS is based on approximation of the input and response data, not the original data.

As a case study for the application of the approximation of multi-input functions, a spherical 5R mechanism is used to generate a two input-single-output function.

It means that the results of the MC-Net algorithm give better approximation for input distance vector.

We provide a linear-cost implementation for tracing the PAC of polygonal approximations of smooth input curves.