- artificial neural network back propagation algorithm
- Макаров: алгоритм встречного распространения искусственных нейронных сетей
Универсальный англо-русский словарь. Академик.ру. 2011.
artificial neural network back propagation algorithm
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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 network — 1. any group of neurons that conduct impulses in a coordinated manner, as the assemblages of brain cells that record a visual stimulus. 2. Also called neural net. a computer model designed to simulate the behavior of biological neural networks,… … Universalium
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 intelligence — the capacity of a computer to perform operations analogous to learning and decision making in humans, as by an expert system, a program for CAD or CAM, or a program for the perception and recognition of shapes in computer vision systems. Abbr.:… … Universalium
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
Anticipation (artificial intelligence) — In artificial intelligence, anticipation is the concept of an agent making decisions based on predictions, expectations, or beliefs about the future. It is widely considered that anticipation is a vital component of complex natural cognitive… … Wikipedia
Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example … Wikipedia
Belief propagation — is a message passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It calculates the marginal distribution for each unobserved node, conditional on any observed nodes. Belief… … Wikipedia
History of artificial intelligence — The history of artificial intelligence begins in antiquity with myths, stories and rumors of artificial beings endowed with intelligence and consciousness by master craftsmen. In the middle of the 20th century, a handful of scientists began to… … Wikipedia
Natural computing — For the scientific journal, see Natural Computing (journal). Natural computing, also called Natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of… … Wikipedia
Stock market prediction — is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock s future price could yield significant profit. Some believe that stock price… … Wikipedia
