Εισάγετε μια λέξη ή φράση σε οποιαδήποτε γλώσσα 👆
Γλώσσα:
Μετάφραση και ανάλυση λέξεων από την τεχνητή νοημοσύνη ChatGPT
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
input pattern - translation to ρωσικά
WIKIMEDIA DISAMBIGUATION PAGE
Inputs; INPUT; Input (disambiguation)
input pattern
общая лексика
входной набор (сигналов)
input pattern
структура затрат
data input
IN COMPUTING, INPUT OF A PROGRAM OR PROCESS, I.E. A COMMAND OR SIGNAL FROM OUTER SOURCES
Data input
ввод данных
Ορισμός
pattern recognition
<artificial intelligence, data processing> A branch of
artificial intelligence concerned with the classification or
description of observations.
Pattern recognition aims to classify data (patterns) based
on either a priori knowledge or on statistical information
extracted from the patterns. The patterns to be classified
are usually groups of measurements or observations, defining
points in an appropriate multidimensional space.
A complete pattern recognition system consists of a sensor
that gathers the observations to be classified or described; a
feature extraction mechanism that computes numeric or
symbolic information from the observations; and a
classification or description scheme that does the actual job
of classifying or describing observations, relying on the
extracted features.
The classification or description scheme is usually based on
the availability of a set of patterns that have already been
classified or described. This set of patterns is termed the
training set and the resulting learning strategy is
characterised as supervised. Learning can also be
unsupervised, in the sense that the system is not given an a
priori labelling of patterns, instead it establishes the
classes itself based on the statistical regularities of the
patterns.
The classification or description scheme usually uses one of
the following approaches: statistical (or {decision
theoretic}), syntactic (or structural), or neural.
Statistical pattern recognition is based on statistical
characterisations of patterns, assuming that the patterns are
generated by a probabilistic system. Structural pattern
recognition is based on the structural interrelationships of
features. Neural pattern recognition employs the neural
computing paradigm that has emerged with neural networks.
(1995-09-22)
