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1 perceptron rule
= perceptron learning rule алгоритм обучения ( нейронных сетей) типа "перцептрон" -
2 perceptron rule
= perceptron learning rule алгоритм обучения ( нейронных сетей) типа "перцептрон"The New English-Russian Dictionary of Radio-electronics > perceptron rule
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3 perceptron rule
Вычислительная техника: алгоритм обучения (нейронных сетей) типа "перцептрон" (= perceptron learning rule) -
4 perceptron learning rule
English-Russian electronics dictionary > perceptron learning rule
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5 perceptron learning rule
The New English-Russian Dictionary of Radio-electronics > perceptron learning rule
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6 rule
1) правилоа) принцип; закон; условиеб) алгоритмв) вчт оператор для проверки исходных положений2) устанавливать правило или правила3) (масштабная) линейка (напр. рабочего окна текстовых редакторов)5) линовать; разграфлять•- rule of parallelogram
- activation rule
- adaline rule
- aeroplane rule
- Ampere's rule
- associative rules
- backpropagation learning rule
- basic encoding rules
- Bayes decision rule
- canonical encoding rules
- chain rule
- coding rule
- commutative rules
- complementary rules
- compositional rule of inference
- concretization rules
- corkscrew rule
- data point rules
- decision rule
- delta rule
- delta learning rule
- design rules
- dipolar selection rules
- distinguished encoding rules
- distributive rules
- explicit rules
- Fleming's rule
- format rule
- fuzzy rule
- generalized delta rule
- geometry rules
- Hebb rule
- Hebb learning rule
- idempotent rule s-
- implicit rules
- instrument flight rule s-
- involution rule
- Kelly rules
- Kohonen rule
- Kohonen learning rule
- layout rules
- learning rule
- left-hand rule
- Lenz's rule
- linear decision rule
- localization rule
- Maxwell's rule
- operating rules
- optical-transition selection rules
- orthographic rules
- outstar learning rule
- packed encoding rules
- perceptron rule
- perceptron learning rule
- priority rule
- production rule
- propagation rule
- randomized rule
- reduction rules
- rewrite rule
- right-hand rule
- scale rule
- screwdriver rule
- signaling rules
- slide rule
- spelling-to-sound rules
- star learning rule
- substitution rule
- tournament rule
- training rule
- transformation rule
- value rule
- visibility rules
- weight update rule
- Widrow-Hoff rule -
7 rule
1) правилоа) принцип; закон; условиеб) алгоритмв) вчт. оператор для проверки исходных положений3) (масштабная) линейка (напр. рабочего окна текстовых редакторов)5) линовать; разграфлять•- adaline rule
- aeroplane rule
- Ampere's rule
- associative rules
- backpropagation learning rule
- basic encoding rules
- Bayes decision rule
- canonical encoding rules
- chain rule
- coding rule
- commutative rules
- complementary rules
- compositional rule of inference
- concretization rules
- corkscrew rule
- data point rules
- decision rule
- delta learning rule
- delta rule
- design rules
- dipolar selection rules
- distinguished encoding rules
- distributive rules
- explicit rules
- Fleming's rule
- format rule
- fuzzy rule
- generalized delta rule
- geometry rules
- Hebb learning rule
- Hebb rule
- idempotent rules
- implicit rules
- instrument flight rules
- involution rule
- Kelly rules
- Kohonen learning rule
- Kohonen rule
- layout rules
- learning rule
- left-hand rule
- Lenz's rule
- linear decision rule
- localization rule
- Maxwell's rule
- operating rules
- optical-transition selection rules
- orthographic rules
- outstar learning rule
- packed encoding rules
- perceptron learning rule
- perceptron rule
- priority rule
- production rule
- propagation rule
- randomized rule
- reduction rules
- rewrite rule
- right-hand rule
- rule of logical inference
- rule of parallelogram
- scale rule
- screwdriver rule
- signaling rules
- slide rule
- spelling-to-sound rules
- star learning rule
- substitution rule
- tournament rule
- training rule
- transformation rule
- value rule
- visibility rules
- weight update rule
- Widrow-Hoff ruleThe New English-Russian Dictionary of Radio-electronics > rule
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8 perceptron learning rule
Вычислительная техника: алгоритм обучения (нейронных сетей) типа "перцептрон" (= perceptron rule)Универсальный англо-русский словарь > perceptron learning rule
См. также в других словарях:
Perceptron — Perceptrons redirects here. For the book of that title, see Perceptrons (book). The perceptron is a type of artificial neural network invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt.[1] It can be seen as the simplest… … Wikipedia
Delta rule — The delta rule is a gradient descent learning rule for updating the weights of the artificial neurons in a single layer perceptron. It is a special case of the more general backpropagation algorithm. For a neuron with activation function 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
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
Réseau de neurones artificiels — Pour l’article homonyme, voir Réseau de neurones (biologie). Pour les articles homonymes, voir Réseau. Un réseau de neurones artificiels est un modèle de calcul dont la conception est très schématiquement inspirée du fonctionnement… … Wikipédia en Français
AI winter — See also and An AI Winter is a collapse in the perception of artificial intelligence research. The term was coined by analogy with the relentless spiral of a nuclear winter: a chain reaction of pessimism in the AI community, followed by pessimism … Wikipedia
Recurrent neural network — A recurrent neural network (RNN) is a class of neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior.Recurrent neural networks must … Wikipedia
Connectionism — is a set of approaches in the fields of artificial intelligence, cognitive psychology, cognitive science, neuroscience and philosophy of mind, that models mental or behavioral phenomena as the emergent processes of interconnected networks of… … Wikipedia
Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on … Wikipedia
Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Winnow (algorithm) — The winnow algorithm [Littlestone, N. (1988) Learning Quickly When Irrelevant Attributes About: A New Linear threshold Algorithm Machine Learning 285 318(2)] is a technique from machine learning. It is closely related to the Perceptron, but it… … Wikipedia
