-
1 input-to-hidden weights
English-Russian electronics dictionary > input-to-hidden weights
-
2 weight
1) веса) сила тяжестиб) весовой коэффициент, весовой множитель или весовая функция || весовой2) взвешивать, использовать весовые коэффициенты, весовые множители или весовую функцию3) груз; нагрузка || нагружать5) масса7) насыщенность шрифта, степень жирности шрифта; чернота шрифта•- weight of representation
- weight of tensor
- weight of tree
- weight of tree's point
- antiskate bias weight
- balancing weight
- book weight
- connection weight
- constant weight
- counter weight of tone arm
- criterion weight
- feedback weight
- feedforward weight
- font weight
- hidden-to-output weights
- hidden-to-hidden weights
- input-to-hidden weights
- lag weights
- learned weight
- molecular weight
- quiescent weight
- relative weight
- sliding weight
- statistical weight
- synaptic weight
- tap weight
- topological weight
- total weight
- tracking weight -
3 layer
1) слой; плёнка || формировать слой или слои; наносить плёнку2) прокладка; разделительный слой || использовать прокладку; разделять слоем3) расслаивать(ся); отслаиваться4) вчт уровень || вводить уровни; использовать многоуровневое представление (напр. иерархической системы)5) уровень шифрования, один из (последовательно применяемых неидентичных) шагов шифрования ( в блочных шифрах)•- layer of weaker air movement
- layer of weights
- accumulation layer
- adhesion layer
- Appleton layer
- application layer - barrier layer
- base layer
- Beilby layer
- blocking layer
- bonding layer
- bottom layer
- boundary layer
- buried layer
- cathode layer
- Chapman layer
- charge layer
- collector layer
- competitive layer
- confusion layer
- control layer
- D-layer
- data-link layer
- daytime layer
- dead layer
- depletionlayer
- deposited layer
- diffusion layer
- dipole layer
- doped layer
- ducting layer
- E-layer
- Es layer
- electroluminescent powder layer
- electron-barrier layer
- elevated layer
- embedded metal layer
- emitter layer
- enriched layer
- epitaxial layer
- evaporation layer
- F-layer
- F1 layer
- F2 layer
- fencing layer
- fused layer
- Gaussian-doped layer
- gettering layer
- Grossberg layer
- half-value layer - heteroepitaxial layer
- hidden layer of neural network
- hole-barrier layer
- homoepitaxial layer
- i-layer
- implanted layer
- input layer of neural network
- interfacial layer
- intrinsic layer
- inversion layer
- ion-implanted layer
- Kennelly-Heaviside layer
- Kohonen layer
- light-blocking layer
- link layer
- liquid-crystal layer
- low-latitude boundary layer
- metal layer
- metallization layer
- microtwinned layer
- microvia layer
- momentum boundary layer
- n-layer
- narrow band-gap layer
- near-intrinsic layer
- network layer
- neural layer
- optical waveguiding layer
- output layer of neural network
- overgrown layer
- oxide layer
- ozone layer
- p-layer
- passivation layer
- phosphor layer
- photoconductive control layer
- physical layer
- pi layer
- plasma sheet boundary layer
- polysilicon layer
- presentation layer
- recording layer
- secure sockets layer
- self-assembled layer
- semi-transparent layer
- sensor layer
- separating layer
- session layer
- signal layer
- space-charge layer
- spontaneous inversion layer
- sporadic-E layer
- surface boundary layer
- swept-out layer
- transaction layer
- transition layer
- transport layer
- tropospheric layer
- unswept layer
- unswept epitaxial layer
- vacuum-deposited layer
- vacuum-evaporated layer
- wide band-gap layer
- wiring layer
- ν-layer
- π-layer -
4 layer
1) слой; плёнка || формировать слой или слои; наносить плёнку2) прокладка; разделительный слой || использовать прокладку; разделять слоем3) расслаивать(ся); отслаиваться4) вчт. уровень || вводить уровни; использовать многоуровневое представление (напр. иерархической системы)5) уровень шифрования, один из (последовательно применяемых неидентичных) шагов шифрования ( в блочных шифрах)•- ν layer- π layer
- accumulation layer
- adhesion layer
- Appleton layer
- application layer
- ATM adaptation layer
- atom layer
- barrier layer
- base layer
- Beilby layer
- blocking layer
- bonding layer
- bottom layer
- boundary layer
- buried layer
- cathode layer
- Chapman layer
- charge layer
- collector layer
- competitive layer
- confusion layer
- control layer
- D layer
- data-link layer
- daytime layer
- dead layer
- depletion layer
- deposited layer
- diffusion layer
- dipole layer
- doped layer
- ducting layer
- E layer
- Es layer
- electroluminescent powder layer
- electron-barrier layer
- elevated layer
- embedded metal layer
- emitter layer
- enriched layer
- epitaxial layer
- evaporation layer
- F layer
- F2 layer
- F1 layer
- fencing layer
- fused layer
- Gaussian-doped layer
- gettering layer
- Grossberg layer
- half-value layer
- hardware abstraction layer
- Heaviside layer
- heteroepitaxial layer
- hidden layer of neural network
- hole-barrier layer
- homoepitaxial layer
- i layer
- implanted layer
- input layer of neural network
- interfacial layer
- intrinsic layer
- inversion layer
- ion-implanted layer
- Kennelly-Heaviside layer
- Kohonen layer
- layer of units
- layer of weaker air movement
- layer of weights
- light-blocking layer
- link layer
- liquid-crystal layer
- low-latitude boundary layer
- metal layer
- metallization layer
- microtwinned layer
- microvia layer
- momentum boundary layer
- n layer
- narrow band-gap layer
- near-intrinsic layer
- network layer
- neural layer
- optical waveguiding layer
- output layer of neural network
- overgrown layer
- oxide layer
- ozone layer
- p layer
- passivation layer
- phosphor layer
- photoconductive control layer
- physical layer
- pi layer
- plasma sheet boundary layer
- polysilicon layer
- presentation layer
- recording layer
- secure sockets layer
- self-assembled layer
- semi-transparent layer
- sensor layer
- separating layer
- session layer
- signal layer
- space-charge layer
- spontaneous inversion layer
- sporadic-E layer
- surface boundary layer
- swept-out layer
- transaction layer
- transition layer
- transport layer
- tropospheric layer
- unswept epitaxial layer
- unswept layer
- vacuum-deposited layer
- vacuum-evaporated layer
- wide band-gap layer
- wiring layerThe New English-Russian Dictionary of Radio-electronics > layer
См. также в других словарях:
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
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
connectionism — /keuh nek sheuh niz euhm/, n. Psychol. the theory that all mental processes can be described as the operation of inherited or acquired bonds between stimulus and response. [CONNECTION + ISM] * * * In cognitive science, an approach that proposes… … Universalium
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
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
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
Clique problem — The brute force algorithm finds a 4 clique in this 7 vertex graph (the complement of the 7 vertex path graph) by systematically checking all C(7,4)=35 4 vertex subgraphs for completeness. In computer science, the clique problem refers to any of… … Wikipedia
Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … 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
Economic Affairs — ▪ 2006 Introduction In 2005 rising U.S. deficits, tight monetary policies, and higher oil prices triggered by hurricane damage in the Gulf of Mexico were moderating influences on the world economy and on U.S. stock markets, but some other… … Universalium
Counterpropagation network — The counterpropagation network is a hybrid network. It consists of an outstar network and a competitive filter network. It was developed in 1986 by Robert Hecht Nielsen. It is guaranteed to find the correct weights, unlike regular back… … Wikipedia