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logistic sigmoid function

См. также в других словарях:

  • Sigmoid function — The logistic curve Plot of the error function …   Wikipedia

  • Logistic function — A logistic function or logistic curve is the most common sigmoid curve. It modelsthe S curve of growth of some set P . The initial stage of growth is approximately exponential; then, as saturation begins, the growth slows, and at maturity, growth …   Wikipedia

  • Logistic distribution — Probability distribution name =Logistic type =density pdf cdf parameters =mu, location (real) s>0, scale (real) support =x in ( infty; +infty)! pdf =frac{e^{ (x mu)/s {sleft(1+e^{ (x mu)/s} ight)^2}! cdf =frac{1}{1+e^{ (x mu)/s! mean =mu, median …   Wikipedia

  • Logistic regression — In statistics, logistic regression is a model used for prediction of the probability of occurrence of an event by fitting data to a logistic curve. It makes use of several predictor variables that may be either numerical or categorical. For… …   Wikipedia

  • Logistic — * Logistics is the management of resources and their distribution. ** Logistic engineering is the scientific study of logistics. ** Military logistics is the study of logistics at the service of military units and operations. * The logistic… …   Wikipedia

  • Generalised logistic function — The generalized logistic curve or function, also known as Richards curve is a widely used and flexible sigmoid function for growth modelling, extending the well known logistic curve.:Y = A + { K over (1 + Q e^{ B (t M)}) ^ {1 / u} }where Y =… …   Wikipedia

  • Gompertz function — A Gompertz curve or Gompertz function, named after Benjamin Gompertz, is a sigmoid function. It is a type of mathematical model for a time series, where growth is slowest at the start and end of a time period.:y(t)=ae^{be^{ctwhere * a is the… …   Wikipedia

  • Feedforward neural network — A feedforward neural network is an artificial neural network where connections between the units do not form a directed cycle. This is different from recurrent neural networks.The feedforward neural network was the first and arguably simplest… …   Wikipedia

  • Artificial neuron — An artificial neuron is a mathematical function conceived as a crude model, or abstraction of biological neurons. Artificial neurons are the constitutive units in an artificial neural network. Depending on the specific model used, it can receive… …   Wikipedia

  • Hill equation — The Hill equation is an equation used in biochemical characterization, which should not be confused with the Hill differential equation that is also sometimes referred to as simply the Hill equation or Hill s equation .In biochemistry, the… …   Wikipedia

  • Probit — In probability theory and statistics, the probit function is the inverse cumulative distribution function (CDF), or quantile function associated with the standard normal distribution. It has applications in exploratory statistical graphics and… …   Wikipedia

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