backpropagation algorithm

backpropagation algorithm
алгоритм обращенного продолжения

English-Russian dictionary of geology. 2011.

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  • Backpropagation — Backpropagation, or propagation of error, is a common method of teaching artificial neural networks how to perform a given task. It was first described by Paul Werbos in 1974, but it wasn t until 1986, through the work of David E. Rumelhart,… …   Wikipedia

  • Neural backpropagation — This article is about the biological process. For the computer algorithm, see Backpropagation. Neural backpropagation is the phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon (normal… …   Wikipedia

  • Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite …   Wikipedia

  • Pruning (algorithm) — Pruning is a term in mathematics and informatics which describes a method of enumeration, which allows to cut parts of a decision tree. Pruned parts of the tree are no longer considered because the algorithm knows based on already collected data… …   Wikipedia

  • Cascade correlation algorithm — Cascade Correlation is an architecture and supervised learning algorithm for artificial neural networks developed by Scott Fahlman.Instead of just adjusting the weights in a network of fixed topology, Cascade Correlation begins with aminimal… …   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

  • Multilayer perceptron — A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate output. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the… …   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

  • Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( …   Wikipedia

  • Neural cryptography — is a branch of cryptography dedicated to analyzing the application of stochastic algorithms, especially neural network algorithms, for use in encryption and cryptanalysis. Contents 1 Definition 2 Applications 3 Neural key e …   Wikipedia

  • List of important publications in computer science — This is a list of important publications in computer science, organized by field. Some reasons why a particular publication might be regarded as important: Topic creator – A publication that created a new topic Breakthrough – A publication that… …   Wikipedia


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