Глоссарий





Новости переводов

19 апреля, 2024

Translations in furniture production

07 февраля, 2024

Ghostwriting vs. Copywriting

30 января, 2024

Preparing a scientific article for publication in an electronic (online) journal

20 декабря, 2023

Translation and editing of drawings in CAD systems

10 декабря, 2023

About automatic speech recognition

30 ноября, 2023

Translation services for tunneling shields and tunnel construction technologies

22 ноября, 2023

Proofreading of English text



Глоссарии и словари бюро переводов Фларус

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Backpropagation

Глоссарий по искусственному интеллекту
    A classical method for error propagation when training artificial neural networks (anns). for standard backpropagation, the parameters of each node are changed according to the local error gradient. the method can be very slow to converge although it can be improved through the use of methods that slow the error propagation and by batch processing. many alternate methods such as the conjugate gradient and levenberg- marquardt algorithms are more effective and reliable.


Обратное распространение, русский
    Наиболее применяемый способ управляемого обучения, при котором сигнал ошибки на выходе нейронной сети распространяется в обратном направлении: от нейронов выходного слоя к нейронам входного слоя с последующей корректировкой синаптических весов нейронной сети для достижения минимальной выходной погрешности.




Propagation, английский
  1. Прохождение, распространение (напр, радиоволн)

  2. An act of causing something to spread or multiply

  3. Распространение; размножение; продвижение; передача

  4. Распространение

  5. The process of distributing an index from a content index server to one or more web servers for the purposes of providing search.

  6. Advancement of a wave through a medium.

  7. Advancement of energy or a crack through a medium. see also brittle crack propagation; ductile crack propagation; fatigue crack propagation.

  8. Movement of a wave through a medium.7,21


Artificial, английский
  1. Искусственный

  2. Made to resemble a natural material or object, for example, faux marbre.

  3. A искусственный intelligence, language

  4. Bait made of some type of metal, plastic or rubber. comes in many colors, may be scented or unscented.


Parameters, английский
    Параметры


Processing, английский
  1. Обработка (напр. данных); технология

  2. N обработка cognitive ~ когнитивная обработка language ~ когн.

  3. Обработка ~ of materials обработка [переработка] материалов

  4. A language originally designed for artists to allow them to do simple graphical design programs in a movie like paradigm.

  5. The preparation or packaging of fish to render it suitable for human consumption, retail sale, industrial use, or long-term storage, including but not limited to cooking, canning, smoking, salting, drying, filleting, freezing, or rendering into meal or oil, but not heading and gutting unless additional preparation is done.

  6. Under the gdpr, “processing” is any operation that is performed on personal data. this includes collection, recording, organisation, structuring, storage, adaptation, alteration, dissemination, erasure or destruction.


Algorithms, английский
    Complex mathematical formulae or rules used to solve complex problems in cctv they are used to achieve digital compression of a video picture.


Sorties paradox, английский
    A classic paradox occasionally used in defense of fuzzy logic methods. an example is zeno`s pile of sand. if you remove a single grain, it is still a pile. repeat the process and, eventually, no pile of sand exists. when does the pile lose its "pileness" since the earlier operation showed that removing a grain of sand does not change the pileness? as with many paradoxes, it relies on loose definitions and/or a specific viewpoint.


Classification tree, английский
    A classification tree is a tree-structured model for classifying dates. an observation is presented to the root node, which contains a splitting rule that sub-classifies the observation into one of its child nodes. the process is recursively repeated until the observation "drops" into a terminal node, which produces the classification. figure c.2 on page 52 shows a partial classification tree for blood pressure. see also: decision tree, recursive partitioning.