- network approximation
- Макаров: сеточная аппроксимация
Универсальный англо-русский словарь. Академик.ру. 2011.
network approximation
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Network congestion avoidance — is a process used in computer networks to avoid congestion.The fundamental problem is that all network resources are limited, including router processing time and link throughput. Eg.: *today s (2006) Wireless LAN effective bandwidth throughput… … Wikipedia
Network analysis (electrical circuits) — Linear Network Analysis Elements … Wikipedia
Network neutrality — This article is about the general principle of network neutrality. For its specific application to Canada, see Network neutrality in Canada. For its application to the U.S., see Network neutrality in the United States. Network Neutrality Related… … Wikipedia
Network congestion — In data networking and queueing theory, network congestion occurs when a link or node is carrying so much data that its quality of service deteriorates. Typical effects include queueing delay, packet loss or the blocking of new connections. A… … 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
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
Electrical network — For electrical power transmission grids and distribution networks, see Grid (electricity). A simple electric circuit made up of a voltage source and a resistor. Here, V = iR, according to Ohm s Law. An electrical network is an interconnection of… … Wikipedia
Clos network — In the field of telecommunications, a Clos network is a kind of multistage circuit switching network, first formalized by Charles Clos in 1953,[1] which represents a theoretical idealization of practical multi stage telephone switching systems.… … Wikipedia
Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… … Wikipedia
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
Universal approximation theorem — In the mathematical theory of neural networks, the universal approximation theorem states[1] that the standard multilayer feed forward network with a single hidden layer that contains finite number of hidden neurons, and with arbitrary activation … Wikipedia
