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
self-organizing program - translation to ρωσικά
Self-organizing strategy; Move-to-root heuristic; Self-organizing heuristic
self-organizing program
вычислительная техника
автопрограмма
self-organizing map
![One-dimensional SOM versus principal component analysis (PCA) for data approximation. SOM is a red [[broken line]] with squares, 20 nodes. The first principal component is presented by a blue line. Data points are the small grey circles. For PCA, the [[fraction of variance unexplained]] in this example is 23.23%, for SOM it is 6.86%.<ref>Illustration is prepared using free software: Mirkes, Evgeny M.; [http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html ''Principal Component Analysis and Self-Organizing Maps: applet''], University of Leicester, 2011</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/SOMsPCA.PNG?width=200 "One-dimensional SOM versus principal component analysis (PCA) for data approximation. SOM is a red [[broken line]] with squares, 20 nodes. The first principal component is presented by a blue line. Data points are the small grey circles. For PCA, the [[fraction of variance unexplained]] in this example is 23.23%, for SOM it is 6.86%.<ref>Illustration is prepared using free software: Mirkes, Evgeny M.; [http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html ''Principal Component Analysis and Self-Organizing Maps: applet''], University of Leicester, 2011</ref>")
![Cartographical representation of a self-organizing map ([[U-Matrix]]) based on Wikipedia featured article data (word frequency). Distance is inversely proportional to similarity. The "mountains" are edges between clusters. The red lines are links between articles.](https://commons.wikimedia.org/wiki/Special:FilePath/Self oraganizing map cartography.jpg?width=200 "Cartographical representation of a self-organizing map ([[U-Matrix]]) based on Wikipedia featured article data (word frequency). Distance is inversely proportional to similarity. The \"mountains\" are edges between clusters. The red lines are links between articles.")
TYPE OF ARTIFICIAL NEURAL NETWORK
Self organizing map; Kohonen map; Kohonen; Self Organizing Map; Self-organising map; Self-Organizing Map; Kohonen maps; Self Organising Map; Self-organising maps; Self organising map; Self organizing maps; Self-organizing nets; Self-organizing feature map; Kohonen network; SOFM; Time adaptive self-organizing map
общая лексика
отображение [входных данных на выходные] с самоорганизацией
способ обучения нейронной сети при недостаточном количестве данных
self-organizing network
математика
самоорганизующаяся сеть
Βικιπαίδεια
Self-organising heuristic
In computing, a Self-organising heuristic is an algorithm that modifies a data structure such as a linked list in response to use of the data structure.
Examples might be:
- Move-to-front (or 'Move to top')
- Self-learning Frequency list (or 'Order by access frequency')
- Re-insert at random position
- Move to back
