Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
Introduction. The implementation of information technologies in various spheres of public life dictates the creation of efficient and productive systems for entering information into computer systems. In such systems it is important to build an effective recognition module. At the moment, the most e...
Enregistré dans:
Auteurs principaux: | Elshan Mustafayev, Rustam Azimov |
---|---|
Format: | article |
Langue: | EN RU UK |
Publié: |
V.M. Glushkov Institute of Cybernetics
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/d40906d19ee347c99b5a46101498d9b7 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Application Research on Optimization Algorithm of sEMG Gesture Recognition Based on Light CNN+LSTM Model
par: Dianchun Bai, et autres
Publié: (2021) -
Experience of OpenStack Test Deployment and Comparison of Virtual and Real Cluster Environments
par: Tamara Bardadym, et autres
Publié: (2021) -
Development and Conformity Assessment of ECG-Photometric Complex Software
par: Vitalii Budnyk, et autres
Publié: (2021) -
Decision Making Models on the Market of Cloud Services
par: Vasyl Gorbachuk, et autres
Publié: (2021) -
Enhancing the pattern recognition capacity of machine learning techniques: The importance of feature positioning
par: Debora Di Caprio, et autres
Publié: (2022)