Sentence examples for by the linear function from inspiring English sources
The peak count rate was 5 million CPM, although the ideal response denoted by the linear function indicates a substantial loss of accuracy at these high count rates.
The activation function of the output neuron is also different; the output neuron is always activated by the linear function (y~=~u), where u is the potential of the output neuron calculated as the scalar product of the weight vector v and the output vector o.
To estimate a model for ν i, the likelihood functions of Poisson-Poisson and negative binomial-Poisson mixture models can be written as functions of ν i by replacing μ 2i by the linear function of the marginal mean in Eq. (4).
Algebraically negative deviations (left sided) penalized by the linear function: mu [f_{q}(x)]= left{ begin{array}{ll} 1, & quad text{if } f_{q}(x ge b_{q} 1-frac{b_{q}-f_{q}(x)}{p_{max }}, & quad text{if } b_{q}-p_{max }le f_{q}(x le b_{q} 0, & quad text{if } f_{q}(x le b_{q}-p_{max } end{array} right.
(4) Algebraically negative deviations (left sided) penalized by the linear function: mu [f_{q}(x)]= left{ begin{array}{ll} 1, & quad text{if } f_{q}(x ge b_{q} 1-frac{b_{q}-f_{q}(x)}{p_{max }}, & quad text{if } b_{q}-p_{max }le f_{q}(x le b_{q} 0, & quad text{if } f_{q}(x le b_{q}-p_{max } end{array} right.
The estimator of the characteristic standard deviation function SD is then determined by fitting the linear function SD = a + bY mean to the experimental points at the logarithmic scale; (Eq. (1), Y m is the sample mean).
Ryzhik (1960) derived a 1D self-similar solution for counter-current model by assuming the linear function of capillary pressure and relative permeability with water saturation.
Therefore, by using the linear function reported in Fig. 6b, it is possible to calculate the average temperature of the sample by means of the following equation: Fig. 6 Absorption spectra of the sample for different values of temperature (a) and linear fit of the intensity of the DNA absorption peak (at λ = 260 nm) versus the temperature (b).
The slopes, which were computed by fitting the linear function to the corresponding concentration data together with the volunteers' characteristics and experiment conditions, were used to calculate emission rates of analytes of interest.
Before 2000, the annual and monthly flow-sediment relationships could be generally characterized by the linear functions, and the power-law sediment rating curve was able to describe the daily flow-sediment relationship.
