Examples of using Logistic function in English and their translations into Portuguese
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Logistic functions are used in several roles in statistics.
The concentration of reactants andproducts in autocatalytic reactions follow the logistic function.
In linguistics, the logistic function can be used to model language change.
From the results it seems proper to consider that carbon emission can be represented by the logistic function.
Another application of the logistic function is in the Rasch model, used in item response theory.
Palabras Clave: Wise knowledge; knowing how to teach; knowledge learned; didactic transposition;distance and logistic function.
A supply chain practice where one or more logistic functions of a firm are outsourced.
The logistic function is itself the derivative of another proposed activation function, the softplus.
Figure 2: Fisher-Pry representation of the deforestation logistic function of the Amazon forest 1990- 2007.
The logistic function can be used to illustrate the progress of the diffusion of an innovation through its life cycle.
This productivity is obtained by the best fitting of a logistic function curve to the capital/product curve along time.
The calculation of the relative risk RR was performed using Poisson regression with covariance matrix and logit logistic function.
In mathematical notation the logistic function is sometimes written as expit in the same form as logit.
They are the inverse functions of the double exponential function, tetration, of, and of the logistic function, respectively.
The logistic function determines the statistical distribution of fermions over the energy states of a system in thermal equilibrium.
Plant Logistics and other operational logistic functions are also a major part of the Supply Chain umbrella.
A popular neural net element computes a linear combination of its input signals, and applies a bounded logistic function to the result;
The Logistic function adjusted better to describe the growth in body weight and the morphometric measures for age on all the genetic groups.
The first step to determine the efficiency as a function of time is to verify if the logistic function adapts reasonably to the experimental data.
Logistic functions are often used in neural networks to introduce nonlinearity in the model or to clamp signals to within a specified range.
A good agreement may be observed between the average numbers in the reference tables, andthe adjusted values obtained with the logistic function figure 3a.
The logistic function is the inverse of the natural logit function and so can be used to convert the logarithm of odds into a probability.
Definitions: logistic suppliers andclient companies can also be arbitrarily classified according to the outsourcing fee or the delegation of the logistic function to a third party.
A generalisation of the logistic function to multiple inputs is the softmax activation function, used in multinomial logistic regression.
On the other hand, the definition of distance is structured according to a stochastic conception,using the logistic function to model the probability of emitting a correct answer to stimulus acting on the knowledge learned.
Logistic functions are used in logistic regression to model how the probability p of an event may be affected by one or more explanatory variables: an example would be to have the model.
A popular neural net element computes a linear combination of its input signals, and applies a bounded logistic function to the result; this model can be seen as a"smoothed" variant of the classical threshold neuron.
The calibration belt uses a generalized polynomial logistic function between the outcome and the logit transformation of the estimated probability, providing information on the direction, extent, and risk classes affected by deviations between the observed and predicted mortality Figure 1.
Logistic functions are used in logistic regression to model how the probability p of an event may be affected by one or more explanatory variables: an example would be to have the model p f( a+ b x){\displaystyle p=f(a+bx)} where x is the explanatory variable and a and b are model parameters to be fitted and f is the standard logistic function. .
In physics: Fermi distribution[edit] The logistic function determines the statistical distribution of fermions over the energy states of a system in thermal equilibrium.