Journals
Books
Articles by keyword recurrent
Method Formation of Matrix Factors in the Recurrent Stochastic Equations for Dynamic Filtration Algorithms of Trajectory Measurements
V. G. Naidenov, V. I. Polyakov, Yu. V. Snytkin
Method of coordination of decisions at synthesis technical projects
L. E. Mistrov
The generalized mathematical model of recurrent generators of non binary pseudo random sequences
I.U. Eremeev
Recurrent Statistucal Quadratic Filter of Nonlinear Estimation
Katulev, A.N., Malevinskii, M.F., Jygolnikov, S.V.
Bulev factorial analysis by means of attractor neural network and its some appendices
A. A. Frolov, D. Gusek, P. Yu. Polyakov
Development of a way and method of creation of information-measuring intellectual system of diagnostics of a hepatites
M. A. Ball, V. N. Meshcheryakov, V. V. Kavygin, S. V. Polozov
Possibility of Decision of Stratify Media Excitation Problem on the Base of Direct Recurrent Relations for Reflection and Penetration Coefficients
S. A. Colichev
A reccurent algorithm for estimation the parameters of amplitude radio signals distribution law
V.V. Evseev
Method of obtaining the interpolated estimations of the parameters motion of aircrafts with the use the dynamic filtration on results the discrete trajectory measurements
V.G. Naydjonov, V.I. Polyakov, V.M. Grigorenko
Real-time measurements in condition of highly quantized observation data: recurrent Pittman-type estimates modification
D.A. Masterenko
A mathematical model for studying the structure of errors the parameters of motion the aircraft at smoothed processing of trajectory measuring information with use of methods the dynamic filtration
V.G. Naidenov, V.I. Polyakov, A.N. Sсhukin
The general theory for self-organization neyrocontrol
A.V. Savelyev
The theoretical concept of generating nonlinear recurrent sequences of using shift register
I.I. Snytkin, A.V. Spirin, T.I. Snytkin
Synthesis of independent automatic machines of generating of nonlinear recurrent sequences (NRS) in the form of discrete cyclic sequences
I.I. Snytkin - Federal State Institution «27 Central Research Institute» Ministry of Defense Russian Federation (Moscow). E-mail: djammell@mail.ru
T.I. Snytkin - Federal State Institution «27 Central Research Institute» Ministry of Defense Russian Federation (Moscow)
The recurrent neural network with managed synapses for handwriting recognition of coherent text
I.K. Belova - Ph.D.(Phys.-Math.), Associate professor, Chair - Software, information technologies, and applied mathematics?, Kaluga branch of the Bauman MSTU
E. O. Deriugina - Ph.D.(Eng.), Associate professor, Chair - Computer systems, complexes, and networks?, Kaluga branch of the Bauman MSTU
Synthesis of independent automatic machines of generating of optimum nonlinear recurrent sequences of the set duration
I.I. Snytkin - Dr.Sc. (Eng.), Professor, Branch of Military Communications Academy (Krasnodar). E-mail: djammell@mail.ru <> T.I. Snytkin - Federal State Institution «27 Central Research Institute», Ministry of Defense Russian Federation (Moscow)
Methods and synthesis of hardware of nonlinear recurrent sequences code dictionaries of the fixed duration generating
I. I. Snytkin - Dr.Sc. (Eng.), Professor, Branch of Military Communications Academy (Krasnodar). E-mail: djammell@mail.ru
T. I. Snytkin - Post-graduate Student, Federal State Institution «27 Central Research Institute» Ministry of Defense Russian Federation (Moscow)
Specificities of computer simulation of spiking recurrent neural networks
E.N. Benderskaya - Ph.D. (Eng.), St.-Petersburg State Polytechnical University. E-mail: helen.bend@gmail.com
K.V. Nikitin - Post-graduate Student, St.-Petersburg State Polytechnical University. E-mail: execiter@mail.ru
Theoretical basis of synthesis and research of multiplied nonlinear re-current sequences
I. I. Snytkin - Dr.Sc. (Eng.), Professor, Academician, Branch of MAC (Krasnodar). E-mail: timursnytkin@gmail БикЮ T. I. Snytkin - FSI «27 CSRI» (Moscow). E-mail: djammell@mail.ru
Research and evaluation of properties and characteristics of periodic autocorrelation functions two fold multiplied nonlinear recurrent sequences
I.I. Snytkin - Dr.Sc. (Eng.), Professor, Academic, Branch of MAC (Krasnodar). E-mail: timursnytkin@gmail.com
T.I. Snytkin - FSI «27 CSRI» (Moscow). E-mail: djammell@mail.ru
Optimization of language models based on recurrent neural networks with momentum
D. I. Ozornin - Post-graduate Student, Yandex LLC, Moscow. E-mail: denioz.25@gmail.com
Cross-correlation function and properties of multiplied nonlinear recurrent sequences
I.I. Snytkin - Dr.Sc. (Eng.), Professor, Branch of MAC (Krasnodar) E-mail: timursnytkin@gmail.com T.I. Snytkin - Senior Research Scientist, FSI «27 CSRI» (Moscow). E-mail: djammell@mail.ru
Development of elements of theory of third decisive scheme of the admission of multiplied nonlinear recurrent sequences
I.I. Snytkin - Dr. Sc. (Eng.), Professor, Academic, Branch of Military Academy of Signal Corps (Krasnodar). E-mail: timursnytkin@gmail.com T.I. Snytkin - 27 CRI of MoD RF (Moscow). E-mail: djammell@mail.ru
Comparison of recurrent fast acquisition algorithms in frequency hopping systems
B.V. Sultanov - Dr. Sc. (Eng.), Professor, Department «Information security of systems and technologies», Penza State University. E-mail: bv_sultanov@mail.ru N.B. Zhukova - Post-graduate Student, Engineer, Department «Information security of systems and technologies», Penza State University. E-mail: zhukova-nb@yandex.ru S.L. Zefirov - Ph. D. (Eng.), Associate Professor, Head of Department «Information security of systems and technologies», Penza State University. E-mail: sergeizefirov@mail.ru V.V. Doroshkevich - Assistant, Department «Information security of systems and technologies», Penza State University. E-mail: ibst@pnzgu.ru
Recurrent miscarriage from the standpoint of general biological principles of disease formation
O.N. Ivanitskaya - Ph.D. (Med.), Sonographer, Medical-Genetics Department, Moscow regions Research In-stitute of Obstetrics and Gynecology. E-mail: olniksa@gmail.com E.M. Demidova - Dr.Sc. (Med.), Professor, Obstetrician, LLC «Klinika na Petrovke», Moscow, Russia. E-mail: e.m.demidova@mail.ru M.B. Demidov - Student, Medical Institute Peoples' Friendship University of Russia, Moscow, Russia. E-mail: demidovmb@gmail.com L.A. Nikitina - Ph.D. (Med.), Research Scientist, Institute of Cell biology, Histology and Embryology, Medical University of Graz, Graz, Austria. E-mail: lunikit@gmail.com L.M. Samokhodskaya - Ph.D. (Med.), Associate Professor, Leading Research Scientist, Laboratory of Gene and Cell Technologies, Faculty of Fundamental Medicine, Moscow State University named after M.V. Lomonosov. E-mail: slm@fbm.msu.ru
Using recurrent neural networks for probabilistic classification of the processor architecture of executable files

A. A. Gladkikh¹, M. O. Komakhin², A. V. Simankov³, D. A. Uzenkov4

1, 2, 4 Department IU4 of Designing and Technology of Electronic Equipment, Bauman Moscow State Technical University (Moscow, Russia)

1–4  JSC “INFORION” (Moscow, Russia)

Algorithm for implementation of the «third decision scheme» of increasing the efficiency of search and synchronization of difficult broadband noise like signals

I.I. Snytkin1, T.I. Snytkin2

1  Krasnodar Higher Military Aviation School of Pilots (Krasnodar, Russia)

2  FSI «27 CSRI» (Moscow, Russia)

Recurrent relationships for reflection coefficients of electromagnetic wave potential representation modes in manylayered spherical environment excitation problem

S.A. Colichev1, N.S. Camalova2

1  Voronezh Aviation Engineering University (Voronezh, Russia), 

2  Voronezh Forest Technical University (Voronezh, Russia),

 ksa22111951.km@yandex.ru

Algorithm for implementation of the «third decision scheme» of increasing the efficiency of search and synchronization of difficult broadband noise like signals

I.I. Snytkin1, T.I. Snytkin2

1  Krasnodar Higher Military Aviation School of Pilots (Krasnodar, Russia),

2  FSI «27 CSRI» (Moscow, Russia)

djammell@mail.ru, timursnytkin@gmail.com

Method for implementation of the «third decision schema» of increasing the efficiency of search and synchronization of difficult broadband noise like signals

I.I. Snytkin1, T.I. Snytkin2

1 Krasnodar Higher Military Aviation School of Pilots (Krasnodar, Russia)

2 FSI «27 CSRI» (Moscow, Russia)

Technical solution «third decision schema» of increasing the efficiency of search and synchronization of difficult broadband noise like signals

I.I. Snytkin1, T.I. Snytkin2

1 Krasnodar Higher Military Aviation School of Pilots Named After the Hero of the Soviet Union A.K. Serov (Krasnodar, Russia)

2 FSI «27 CSRI» (Moscow, Russia)

The use of artificial neural networks on examples of large IT projects

N.S. Konnova – PhD (Eng.), Associate Professor, Bauman Moscow State Technical University

E-mail: nkonnova@bmstu.ru

Neural network methods for integral structure non-destructive testing

A. Yu. Viryasova – Master, Bauman Moscow State Technical University

E-mail: virnastya@yandex.ru

A. I. Vlasov – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: vlasovai@bmstu.ru

A. A. Gladkikh – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: a.gladkikh@inforion.ru

Deep learning in medical diagnostics and control of the functions of the artificial respiration system

B.I. Ismailov1

1 Azerbaijan State University of Oil and Industry (Baku, Azerbaijan)

RNN-based method to classify human natural emotional states from speech

A.K. Alimuradov1, A.Yu. Tychkov2, M.I. Yuskaev3, D.S. Dudnikov4, M.A. Tyurin5, P.P. Churakov6, Z.M. Yuldashev7

1–6 Penza State University (Penza, Russia)

7 St. Petersburg State Electrotechnical University "LETI" (Saint Petersburg, Russia)

Recurrent frequency estimation of sinusoidal signals

A.A. Skripkin1, V.A. Shcherbachev2

1,2 JSC «All-Russian Scientific Research Institute «Gradient» (Rostov-on-Don, Russia)

1 alexyscrypkin@rostov.ru, 2 vove64@mail.ru

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Determination of railway switch state using a recurrent neural network classifier

V.A. Kanarsky1

1 Far Eastern State University of Railway Transport (Khabarovsk, Russia)

1 jizzierose@yahoo.com

Extrapolation of trajectories in radar images using recurrent neural networks

V.V. Dudihin1, E.A. Kuzina2, I.Y. Mezhuev3, S.A. Rylov4, I.Y. Yakupov5

1 Moscow State University (Moscow, Russia)
2,4,5 JSC Distant Radiocommunication Scientific Research Institute (Moscow, Russia)
3 Plekhanov Russian University of Economics (Moscow, Russia)
1 dudikhin@spa.msu.ru, 2 ekkuzina@npodr.ru, 3 Mezhuev.IY@rea.ru, 4 srylov@npodr.ru, 5 iyakupov@npodr.ru