Neural Network Technologies in the Problem of Handwriting Recognition

Neural Network Technologies in the Problem of Handwriting Recognition

Gespeichert in:

Bibliographische Detailangaben
Datum:	2018
Hauptverfasser:	A. D. Goltsev, V. I. Gritsenko
Format:	Artikel
Sprache:	English
Veröffentlicht:	2018
Schriftenreihe:	Control Systems and Computers
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000968235
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Neural network based method of a user identification by keyboard handwriting
von: I. I. Danyliuk, et al.
Veröffentlicht: (2018)

Neural network based method of a user identification by keyboard handwriting
von: Danyliuk, I. I., et al.
Veröffentlicht: (2018)

Self-learning neural network technologies in the systems of structural recognition of visual objects
von: Berestovskii, A. E., et al.
Veröffentlicht: (2015)

Neural network modeling of graphic recognition processes
von: Ye. M. Chichirin, et al.
Veröffentlicht: (2019)

Simple architecture of convolution neural network for handwritten digit recognition
von: V. V. Lukovich
Veröffentlicht: (2013)

Criteria for Comparison of Recognition Models Based on Neural Networks and Analysis of Their Mutual Relations
von: S. A. Subbotin
Veröffentlicht: (2014)

On some problems of neural network technologies in electric components diagnosing
von: S. F. Telenyk, et al.
Veröffentlicht: (2017)

A model of a convolutional neural network and software for typical insect pests recognition
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2021)

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Application of neural network technologies in NDT systems
von: V. S. Yeremenko, et al.
Veröffentlicht: (2012)

Analyzing the models of speech recognition on the basis of neural networks of deep learning for examination of digital phonograms
von: V. I. Solovev, et al.
Veröffentlicht: (2021)

Improving face recognition models using convolutional neural networks, metric learning and optimization methods
von: A. M. Litvynchuk, et al.
Veröffentlicht: (2021)

Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
von: Mustafayev, E., et al.
Veröffentlicht: (2021)

Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
von: E. Mustafayev, et al.
Veröffentlicht: (2021)

Ukrainian dactyl alphabet gesture recognition using convolutional neural networks with 3D convolutions
von: S. S. Kondratiuk
Veröffentlicht: (2019)

Ukrainian dactyl alphabet gesture recognition using cross platform software and convolutional neural networks
von: S. S. Kondratiuk
Veröffentlicht: (2019)

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
von: Кузнєцова, Н. В., et al.
Veröffentlicht: (2023)

Library Handwriting: Legibility, Clarity, Speed, Uniformity, Compactness
von: L. Prokopenko
Veröffentlicht: (2019)

Оn some problems of neural network technologies in electric components diagnosing
von: Telenyk, S.F., et al.
Veröffentlicht: (2017)

Problems of identification of the legal regime for objects created using neural networks technology
von: M. V. Dubniak
Veröffentlicht: (2019)

Neural network-based seismic resolution enhancement technology
von: O. V. Noskov
Veröffentlicht: (2024)

Use of neural network technologies to recover failed detector signal
von: V. I. Borysenko, et al.
Veröffentlicht: (2018)

Intelligent recognition and integration of graphical elements into virtual surrounding within augmented reality using hybrid convolutional neural networks
von: V. Sineglazov, et al.
Veröffentlicht: (2023)

Neural and Bayesian networks in the problem of credit risk analysis
von: Kuznietsova, N. V., et al.
Veröffentlicht: (2015)

Artificial neural networks using for solving of the tribological problems
von: V. M. Uvarov, et al.
Veröffentlicht: (2019)

Neural distributed representation for intelligent information technologies and modeling of thinking
von: V. I. Gritsenko, et al.
Veröffentlicht: (2013)

Neural network modeling in the problem of localization earthquake of Ukraine
von: O. O. Herasymenko, et al.
Veröffentlicht: (2020)

Neural network modeling in the problem of localization earthquake of Ukraine
von: Gerasymenko, O.O., et al.
Veröffentlicht: (2020)

Application of the volume learning algorithm artificial neural networks for recognition of the type of interaction between neurons from their cross-correlation histograms
von: Kovalishyn, V.V., et al.
Veröffentlicht: (2005)

Problem of Sonstructing the GMDH Neural Networks with Active Neurons
von: O. H. Moroz, et al.
Veröffentlicht: (2022)

The Problem of Constructing the GMDH Neural Networks with Active Neurons
von: O. H. Moroz
Veröffentlicht: (2021)

Information technology for the early diagnosys of pneumonia using convolutional neural networks
von: P. M. Radjuk, et al.
Veröffentlicht: (2021)

Neural Distributed Representations of Vector Data in Intelligent Information Technologies
von: V. I. Gritsenko, et al.
Veröffentlicht: (2018)

Neural Distributed Representations of Vector Data in Intelligent Information Technologies
von: Gritsenko, V.I., et al.
Veröffentlicht: (2018)

Vasily Nimchuk as the publisher of ancient Ukrainian handwrit ten sousrces and a paleographs
von: L. A. Hnatenko
Veröffentlicht: (2019)

NEURAL NETWORK MODELING IN PROBLEMS OF PREDICTION MODES OF ELECTRICAL GRIDS
von: Moroz, A. N., et al.
Veröffentlicht: (2016)

Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
von: O. Zozulya, et al.
Veröffentlicht: (2022)

Brain and Artificial Neural Networks
von: V. V. Storozh
Veröffentlicht: (2013)

Recurrent neural networks for the problem of improving numerical meteorological forecasts
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2023)

Neural network technologies to processing natural language texts in adaptive learning systems
von: I. M. Domanetska, et al.
Veröffentlicht: (2017)