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Artmap
| Глоссарий по искусственному интеллекту |
A supervised learning version of the art-1 model. it learns specified binary input patterns. there are various supervised art algorithms that are named with the suffix "map," as in fuzzy artmap. these algorithms cluster both the inputs and targets and associate the two sets of clusters. the main disadvantage of the artmap algorithms is that they have no mechanism to avoid overfitting and hence should not be used with noisy data. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. artmap-ic this network adds distributed prediction and category instance counting to the basic fuzzy artmap. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. art-1 the name of the original adaptive resonance theory (art) model. it can cluster binary input variables. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. art-2 an analogue version of an adaptive resonance theory (art) model, which can cluster real-valued input variables. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. art-2a a fast version of the art-2 model. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. art-3 an art extension that incorporates then analog of "chemical transmitters" to control the search process in a hierarchial art structure.. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/.
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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.
Disadvantage, английский
Недостаток; неудобство
Overfitting, английский
- A term used in neural networks, recursive partitioning, and other automated modeling areas. if the training data is considered to consist both signal and noise (i.e., noisy data), a modeling technique has begun to overfit when it begins capturing the "noise" instead of the "signal." this usually occurs when a model is allowed to increase its number of "parameters`` such as regression coefficients, splits in recursive partitioning schemes, or hidden units in neural networks. the effect of overfitting is to reduce the applicability of the model to other data sets, (i.e., to limit its generalizability). in the extreme, the model can only "predict" its input. the most straight-forward way to eliminate this effect is to require a very large number of observations per parameter in the model.
- A problem in data mining when random variations in data are misclassified as important patterns. overfitting often occurs when the data set is too small to represent the real world.
Distributed, английский
- Распредел
- Распределенный; рассредоточенный
- Сотри t i ng en v i ronmen t распределенные вычисления
- New treasury issues in dealers` hands are said to be distributed.
Prediction, английский
- An act of saying what you expect will happen in the future, or what is said the health ministry’s prediction of a rise in cases of hepatitis b
- Прогнозирование; предсказание; прогноз; предредактирование
- Прогноз; предсказание ~ of durability прогнозирование долговечности flow ~ прогноз стока
- Forecasting quantitative or qualitative outputs through function approximation, applied on input data or measurements.59 610 p t echn i cal g los sary
- Literally knowing something outside the range of an observer`s experiences. minimally, prediction is a mere extrapolation of given data into the future (forecasting) or into the past (retrodiction) (->estimation). it is usually justified by reference to general theories or models which serve as the basis for drawing inferences from available data to phenomena outside their range. thus, predictions are the conclusions drawn from the premise of available data using theories and models as a kind of syllogistic device (->simulation) •
- A data mining technique that analyzes existing data and uses the results to predict values of attributes for new records or missing attributes in existing records. for example, existing credit application data can be used to predict the credit risk for a new application.
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Fuzzy artmap, английский
A supervised fuzzy art network. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. fuzzy associative mmemory (fam) a fuzzy function, or model, that takes a k-dimensional fuzzy input and produces a 1-dimension fuzzy output. comparable to a regression model or a neural network. the model can learn (estimate) from data or have its parameters set in some other fashion, e.g., by the model designer.
Plandoc, английский
A system developed by bellcore that generates english text from the output of a computer program that determines upgrades to the wiring service of a phone company. see also: generation, natural language understanding.
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