Sentence examples for scale of input from inspiring English sources

Generally, in optical systems performing the fractional Fourier transform (FRT), the scale of input function must be changed to obtain transformations of different orders.

The objectives of the proposed work are to design a calibration technique using an optimised neural network model such that it a) produces an output which is linear for the full scale of input range, b) makes the output independent of the variations in supply frequency, the physical parameters of the LVDT, and ambient temperature.

Users should notice that ChIPseek can identify enriched motifs even if they input random data due to the large scale of input data.

Since regression parameters are sensitive to the scale of inputs (Gelman, 2008) yet we wish to have a common interpretation for all transcripts we fit our model to, we divide the response y ^ j by the standard deviation of y ^ j 's across all j ∈ n samples and denote this scaled response as y ^ j ′.

The HBF allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice.

Scaling of input material to immunopurify similar quantities of endogenous and overexpressed PPP1R15A led to recovery of similar amounts of associated endogenous actin.

The results of cluster analysis depend to some extent on the choices of the researcher, e.g. scaling of input variables, and should be viewed as an exploratory technique, which must eventually be validated by other means.

Based on the property of fractional Fourier transform and coordinate scale change of input and output plane, the Gaussian formula for perfect imaging was obtained.

We use a model of a weakly activated cascade[ 13, 14, 19], whose assumptions we first motivate, to study the question of how biochemical cascades detect the time scale dependence of input signals.

This example shows that the original notion of multiplicative interactions is not a necessary condition for Hill equation scaling of input-output relations.

The basic idea here is to gradually present input observations to the HDLA model so that at the early stages of training the coarse-scale properties of input observations are captured while the fine-scale characteristics are learned in later stages.