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Neural State Machine

См. также в других словарях:

  • 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

  • Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia

  • Neural correlate — A neural correlate of a content of experience is any bodily component, such as an electro neuro biological state or the state assumed by some biophysical subsystem of the brain, whose presence necessarily and regularly correlates with such a… …   Wikipedia

  • Cellular neural network — Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces,… …   Wikipedia

  • Echo state network — The echo state network (ESN) is a recurrent neural network with a sparsely connected hidden layer (with typically 1% connectivity). The connectivity and weights of hidden neurons are randomly assigned and are fixed. The weights of output neurons… …   Wikipedia

  • Boltzmann machine — A Boltzmann machine is the name given to a type of stochastic recurrent neural network by Geoffrey Hinton and Terry Sejnowski. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first… …   Wikipedia

  • Artificial Neural Network — Réseau de neurones Pour les articles homonymes, voir Réseau. Vue simplifiée d un réseau artificiel de neurones Un réseau de neurones artificiel est un modèle de c …   Wikipédia en Français

  • 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

  • Anarchy, State, and Utopia — is a work of political philosophy written by Robert Nozick in 1974. This libertarian book was the winner of the 1975 National Book Award. It has been translated into 11 languages and was named one of the 100 most influential books since the war… …   Wikipedia

  • Overfitting (machine learning) — For the statistical concept see OverfittingThe concept of overfitting is important in machine learning. Usually a learning algorithm is trained using some set of training examples, i.e. exemplary situations for which the desired output is known.… …   Wikipedia

  • Delaware State University — Motto Making our mark on the world and Go forth and serve Established May 15, 1891 Type …   Wikipedia

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