To The Problem of the Handwriting Characters Recognition
Istratov Anatoly Urievich, Fedin N. A.
The article discusses development of the segmented characters classifier of the Russian alphabet and of the Arabic numerals on the basis of block neural network structures including the plurality of blocks for each individual character recognition and for the synthesis block decision.
Innovative Information Technologies: Materials of the International scientific–practical conference. Part 2
* 2. , M. : HSE, 2014
, Мир техники кино 2019 Т. 1 № 1(13) С. 8-14
As a digital artist’s tools, the following digital imaging technologies were considered in the article: creating abstract images using a neural network without an input image, base don’t he artist’s psycho-emotional state; creation of images using a neural network - a stylist, at the entrance of which there is a base image and a stylization ...
Added: April 22, 2019
Prediction of recurrence and remission within 3 years in patients with Cushing disease after successful transnasal adenomectomy
, , et al., Pituitary 2019 Vol. 22 No. 6 P. 574-580
Background Some laboratory and clinical features are associated with a probability of recurrence after transnasal adenomectomy for Cushing disease (CD). However, there is no consensus on a set of predictors. Rules for prediction of recurrence were not proposed earlier. Aim To develop prediction model of recurrence/remission after successful neurosurgical treatment for CD. Methods Retrospective single-site comparative study included 349 ...
Added: October 23, 2019
, , Вестник Ижевского государственного технического университета 2015 № 2(66) С. 110-112
This paper describes the results of testing the neuronal technical trend indicator according to the exchange rate of Brent oil in 2014. Testing of the model was carried out on three time series, which characterized by their features. ...
Added: August 31, 2015
Pattern recognition and increasing of the computational efficiency of a parallel realization of the probabilistic neural network with homogeneity testing
, Optical Memory and Neural Networks (Information Optics) 2013 Vol. 22 No. 3 P. 184-192
The research subject is the computational complexity of the probabilistic neural network (PNN) in the pattern recognition problem for large model databases. We examined the following methods of increasing the efficiency of a neuralnetwork classifier: a parallel multithread realization, reducing the PNN to a criterion with testing of homogeneity of feature histograms of input and ...
Added: September 10, 2013
Исследование метода адаптивного функционирования беспроводной сенсорной сети камер с автономными источниками питания
, Качество. Инновации. Образование 2015 № 9 С. 29-33
This paper presents a method for increasing the energy efficiency of wireless camera sensor network with independent power sources - adaptive functioning of a sensor network. We describe the problem of efficient use of energy resources, deal with methods to improve energy efficiency of the camera sensor network, define factors affecting the image recognition on ...
Added: October 31, 2015
Short‐Fractional Hop Whistler Rate Observed by the Low‐Altitude Satellite DEMETER at the End of the Solar Cycle 23
, JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS 2019 Vol. 124 No. 5 P. 3522-3531
For the first time an evaluation of the whistler rate around the Earth is performed using results from the neural network aboard the microsatellite DEMETER. It is shown that the rate of whistlers with low dispersion calculated all around the Earth as a function of longitude vary between 1 and 6 s−1 during nighttime (22.30 LT) and between ...
Added: June 17, 2019
, , et al., , in : Proceedings of the 26th ISSAT Conference on Reliability and Quality in Design. : International Society of Science and Applied Technologies, 2021. P. 122-126.
Added: October 29, 2021
Организация иерархической структуры интеллектуальной системы анализа и оценки устойчивости БЦВК к деструктивному воздействию ЭМИ
, , , Электросвязь 2012 № 8 С. 36-39
The approach to the organization of the hierarchical structure of intelligent system of analysis and evaluation of onboard digital computer system’s resist to destructive electromagnetic effects is offered. The adaptive nature of the levels of the system is determined by using the intelligent tools of fuzzy logic and neural networks for solving the tasks of ...
Added: March 17, 2014
A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings
, , et al., Frontiers in Neuroscience 2015 Vol. 9 No. 389 P. 1-15
In recent years, several assistive devices have been proposed to reconstruct arm and hand movements from electromyographic (EMG) activity. Although simple to implement and potentially useful to augment many functions, such myoelectric devices still need improvement before they become practical. Here we considered the problem of reconstruction of handwriting from multichannel EMG activity. Previously, linear ...
Added: December 15, 2015
, , , , in : Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015). Issue 1452.: Aachen : CEUR Workshop Proceedings, 2015. Ch. 9. P. 64-77.
There are many algorithms for 3D-shooter game artificial intelligence that are based on automatic target recognition with the help of ray casting, scriptbased event systems and many others. In such models game agents have an advantage over human player because computers do not need time for enemy recognition and target aiming processes. The main goal ...
Added: October 9, 2015
, , et al., Chaos, Solitons and Fractals 2022 Vol. 158 Article 112011
Rate chaos is a collective state of a neural network characterized by slow irregular fluctuations of firing rates of individual neurons.We study a sparsely connected network of spiking neuronswhich demonstrates three different scenarios for the emergence of rate chaos, based either on increasing the synaptic strength, increasing the synaptic integration time, or clustering of the excitatory synaptic connections. ...
Added: January 24, 2023
Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods
Added: November 20, 2015
, , , Journal of Applied Probability 2014 Vol. 51 No. 3 P. 837-857
The paper deals with nonlinear Poisson neuron network models with bounded memory dynamics, which can include both Hebbian learning mechanisms and refractory periods. The state of the network is described by the times elapsed since its neurons fired within the post-synaptic transfer kernel memory span, and the current strengths of synaptic connections, the state spaces ...
Added: September 29, 2014
, В кн. : Распределенные вычисления и ГРИД-технологии в науке и образовании. Труды 5-й международной конференции Дубна, 16-21 июля 2012 г. : Дубна : Объединенный институт ядерных исследований, 2012. С. 274-279.
Решение задач по обработке изображений и распознаванию графических образов обычно опирается на некоторою технологию, заключающую в себя последовательность некоторых операций.В работе исследовано затрачиваемое на обработку время, которое зависит от их количества и трудоемкости, размеров входного изображения и скорости передачи информации между отдельными этапами обработки. ...
Added: July 19, 2013
, , , Inorganic Materials: Applied Research 2016 Vol. 7 No. 1 P. 34-39
A database (DB) on the bandgap of inorganic substances available via the Internet (http://bg.imetdb.ru) was developed for the information service of specialists in the sphere of inorganic chemistry and materials science. The DB is integrated with other information systems on the properties of inorganic substances and materials, which provides the search of a wide range ...
Added: February 23, 2016
, , RUDN Journal of Mathematics, Information Sciences and Physics 2014 No. 2 P. 248-252
The methodology of human-computer interaction based on the determination of the eyeball position and its movement direction. For interference and noise elimination from extraneous lighting devices infra-red illumination which allows receiving only one highlight on a cornea from an infra-red light-emitting diode is used. Thus the entrance video-stream in an infra-red range is processed in ...
Added: August 19, 2014
Involvement of the parietal cortex in perceptual learning (Eureka effect): an interference approach using rTMS.
, , et al., Neuropsychologia 2010 Vol. 48 No. 6 P. 1807-1812
The neural mechanisms underlying perceptual learning are still under investigation. Eureka effect is a form of rapid, long-lasting perceptual learning by which a degraded image, which appears meaningless when first seen, becomes recognizable after a single exposure to its undegraded version. We used online interference by focal 10-Hz repetitive transcranial magnetic stimulation (rTMS) to evaluate ...
Added: September 13, 2015
Использование методов распознавания образов для компьютерного конструирования неорганических соединений
, , , Прикладная информатика 2014 № 2 С. 82-87
Currently an enormous number of databases on inorganic substances and materials properties exist that contains multidirectional information. The article is devoted to questions of accumulated data usage to find out regularities by means of pattern recognition methods that allow predicting formation of not synthesized substances and estimating its properties. ...
Added: January 24, 2016
, , Управление финансовыми рисками 2017 № 3(51) С. 166-189
The purpose of this research is to develop a mechanism for forecasting foreign ex-change movements based on a combination of fundamental and technical approaches taking into account the speculative constituent in the pricing of a currency on the inter-national capital market. The significance of the work lies in the expansion of the practi-cal and theoretical ...
Added: December 27, 2017
, , , , in : Actual Problems of System and Software Engineering 2017. Proceedings of the 5th International Conference on Actual Problems of System and Software Engineering Supported by Russian Foundation for Basic Research. Project #17-07-20565 Moscow, Russia, November 14-16, 2017, 408 P. Vol. 1989.: Aachen : CEUR Workshop Proceedings, 2017. P. 362-370.
In this paper, we analyze the use of different neural networks for the text classification task. The accuracy of the studied text classifiers can be changed by a small number of previously classified texts. This is important due to the fact that in many applications of text classification a large number of unlabeled texts are easily accessible, while ...
Added: August 16, 2018
Berlin : Springer, 2008
Added: July 10, 2014
, , , Качество. Инновации. Образование 2015 № 2-2015 С. 33-43
The article considers several approaches for construction of learning intelligent systems - technologies for the automated control of knowledge. The authors provide descriptions of algorithms, as wel as examples and analysis ...
Added: April 7, 2015
Berlin : Springer, 2014
Added: March 2, 2015
Added: July 10, 2014