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universal approximator

См. также в других словарях:

  • Random neural network — The random neural network (RNN) is a mathematical representation of neurons or cells which exchange spiking signals. Each cell is represented by an integer whose value rises when the cell receives an excitatory spike and drops when it receives an …   Wikipedia

  • Radial basis function network — A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. They are used in function approximation, time series prediction, and control.Network architectureRadial basis function (RBF) …   Wikipedia

  • Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   Wikipedia

  • Liquid state machine — A liquid state machine (LSM) is a computational construct, like a neural network. An LSM consists of a large collection of units (called nodes , or neurons ). Each node receives time varying input from external sources (the inputs) as well as… …   Wikipedia

  • GoldenGem — is a neural network computer program. The default configuration is the standard one, a three level perceptron, which was shown simultaneously, but independently, to be a universal nonlinear function approximator in two articles in the same… …   Wikipedia

  • Intelligent control — is a class of control techniques, that use various AI computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms. Overview Intelligent control can be divided… …   Wikipedia

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