input vector

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• Vector control (motor) — Vector control (also called Field Oriented Control, FOC) is one method used in variable frequency drives to control the torque (and thus finally the speed) of three phase AC electric motors by controlling the current fed to the machine.MethodThe… …   Wikipedia

• Input-output model — The Input output model of economics uses a matrix representation of a nation s (or a region s) economy to predict the effect of changes in one industry on others and by consumers, government, and foreign suppliers on the economy. This model, if… …   Wikipedia

• Vector space — This article is about linear (vector) spaces. For the structure in incidence geometry, see Linear space (geometry). Vector addition and scalar multiplication: a vector v (blue) is added to another vector w (red, upper illustration). Below, w is… …   Wikipedia

• Vector calculus — Topics in Calculus Fundamental theorem Limits of functions Continuity Mean value theorem Differential calculus  Derivative Change of variables Implicit differentiation Taylor s theorem Related rates …   Wikipedia

• Vector processor — A vector processor, or array processor, is a CPU design where the instruction set includes operations that can perform mathematical operations on multiple data elements simultaneously. This is in contrast to a scalar processor which handles one… …   Wikipedia

• Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… …   Wikipedia

• Schreier vector — In mathematics, especially the field of computational group theory, a Schreier vector is a tool for reducing the time and space complexity required to calculate orbits of a permutation group.OverviewSuppose G is a finite group with generating… …   Wikipedia

• Serial Vector Format — (SVF) is a vector exchange format, designed to enable transfer of boundary scan vectors between tools. SVF is expressing test patterns that represent the stimulus, expected response, and mask data for IEEE 1149.1 based tests.The SVF file is… …   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

• 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

• Adaptive resonance theory — (ART) is a neural network architecture developed by Stephen Grossberg and Gail Carpenter. Learning model The basic ART system is an unsupervised learning model. It typically consists of a comparison field and a recognition field composed of… …   Wikipedia