- feedforward weight
- весовой коэффициент прямой передачи
English-Russian electronics dictionary .
feedforward weight
Смотреть что такое "feedforward weight" в других словарях:
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
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
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
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
Central pattern generator — Central pattern generators (CPGs) are neural networks that produce rhythmic patterned outputs without sensory feedback.[1][2] CPGs have been shown to produce rhythmic outputs resembling normal rhythmic motor pattern production even in isolation… … 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
Self-organizing map — A self organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce a low dimensional (typically two dimensional), discretized representation of the input space of the training samples, called … 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
Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm … 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
Object recognition — in computer vision is a task of finding given object in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points,… … Wikipedia
