- input weights
- вес входов
Англо-русский технический словарь.
Англо-русский технический словарь.
Hebbian theory — describes a basic mechanism for synaptic plasticity wherein an increase in synaptic efficacy arises from the presynaptic cell s repeated and persistent stimulation of the postsynaptic cell. Introduced by Donald Hebb in 1949, it is also called… … Wikipedia
Oja's rule — Oja s learning rule, or simply Oja s rule, named after a Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the… … 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
Huffman coding — Huffman tree generated from the exact frequencies of the text this is an example of a huffman tree . The frequencies and codes of each character are below. Encoding the sentence with this code requires 135 bits, as opposed of 288 bits if 36… … 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
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
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
Permanent is sharp-P-complete — The correct title of this article is Permanent is #P complete. The substitution or omission of the # sign is because of technical restrictions. In a 1979 paper Leslie Valiant proved[1] that the problem of computing the permanent of a matrix is #P … 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
Artificial neuron — An artificial neuron is a mathematical function conceived as a crude model, or abstraction of biological neurons. Artificial neurons are the constitutive units in an artificial neural network. Depending on the specific model used, it can receive… … Wikipedia
Hysteresis — Not to be confused with Hysteria. Fig. 1. Electric displacement field D of a ferroelectric material as the electric field E is first decreased, then increased. The curves form a hysteresis loop. Hysteresis is the dependence of a system not… … Wikipedia