Sentence examples for elements of input from inspiring English sources

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Even better, unlike the Oculus Rift, which has elements of input and output and requires that games be modified for compatibility, the input-only Omni is compatible with PC games out of the box and is much easier to demonstrate.

In addition, multiple-life-phase emission (pH static test) for the critical elements of input bottom ash, bottom ash granulate (BGF) and crushed BGF containing concrete were assessed.

The elements of input forward and backward prediction error vectors in Equations (23) and (24) are orthogonalized by using self-orthogonalization processors (SOPs), which are triangular-shaped processors in Figure 3.

A more rigorous scientific process that treats different elements of input data as discrete pieces of evidence is needed to ensure that science rather than politics will always define chemical safety.

In order to sequentially solve the exponentially weighted LS optimization problem under consideration, we first organize the elements of input signal vectors y 1(n) = [y 1(n),…,y 1(n − ℓ)] T, and y 2(n) = [y 2(n),…,y 2(n − ℓ)] T according to the natural ordering of SPMLSs as.

The structure elements in system flow perspective are the elements of input of the hospital-level healthcare system.

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Element of input vector can also be regarded as an inherent LPTV transformation of data with the time-invariant filters : (33).

Activation of neurons in layer (F_2 ) and calculation the response according to: begin{aligned} y_j =mathop sum limits _{i=1}^n b_{ij} x_i, end{aligned} (2) where (y_j ) is the response of the jth neuron in (F_2) and (x_i ) is the ith element of input vector ({varvec{x}}).

The neural network can be expressed as {text{net}},fleftt( {sumlimits_{i} {W_{ji} P_{i} + B_{j} } } right) (1)in which P i is the element of input sets, and W ji and B j are the connection weights and biases of the neurons.

Assuming X = [ x 1, x 2, …, x M ] ∈ R K × M to be the sparse matrix via the OMP algorithm, the kernel trick is based on the mapping f : x i → F : κ x,·), which maps each element of input space to the kernel feature space.

According to Specht (1991), the input units are formed by the elements of the input vector X, feeding into each of the pattern units in the second layer.

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