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The factor mod is given by a sigmoid function expressed as follows: mod = 1 1 + e − a · dis + b (20).
Furthermore, the output of the SVM classifier was postprocessed by a sigmoid function to map the SVM output into probabilities.
The user's satisfaction is modeled by a sigmoid function of the average rate over a time window.
The proposed models are feed-forward ANN activated by a sigmoid function and trained by the Levenberg-Marquard algorithm that has been widely used with highly volatile forecast targets.
For comparison, a continuous function of the flocculation efficiency depending on the flocculation time, an interpolation, was used based on the following assumption: The flocculation process can be described by a sigmoid function with an upper limit of 100%, leading to the following function: Efficiencyleft( t right) = left( {frac{100}{{1 + a^{b - t} }}} right).
The residual Ca mediated effect on the population average membrane potential is
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Here, the slip ratio is approximated to a continuous function by using a sigmoid function.
By following a sigmoid function tanh, xi has a tendency to approach either 1 or −1, which is regarded as "on" or "off" of gene expression.
A later study using the same patient population evaluated the transition zone between the cortical gray and white matter by overlaying a sigmoid function in binary images [ 11].
By fitting a sigmoid function, we convert ϕ into a confidence measure based on the posterior probability of a positive (pathogenic) outcome P y = 1 | ϕ ) (Platt, 1999).
The probability is calculated according to Platt's method by fitting a sigmoid function to the SVM output using 3-fold cross validation.
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