| Issue |
Title |
File |
| Vol 32, No 6 (2026) |
Intelligent segmentation of anomalies in oceanographic data: comparative analysis of BiLSTM and TCN on time and time-frequency representations |
 (Rus)
|
|
Korotchenko R.A., Kosheleva A.V.
|
| Vol 31, No 8 (2025) |
Research of neural network models of gesture recognition in the presence of negative factors |
 (Rus)
|
|
Buldakova T.I., Gordeev V.A.
|
| Vol 31, No 7 (2025) |
Application of integer tables for quantisation of activation functions of neural networks |
 (Rus)
|
|
Vasilev А.А., Kapitanov А.I.
|
| Vol 31, No 6 (2025) |
Graph neural networks and their extensions based on hyperbolic geometry: a review |
 (Rus)
|
|
Petrenko P.B., Tolpygin А.S.
|
| Vol 31, No 2 (2025) |
On neural network methods of image reconstruction and super-resolution |
 (Rus)
|
|
Rubinov K.A.
|
| Vol 31, No 2 (2025) |
Study of neural network robustness in the task of pattern recognition |
 (Rus)
|
|
Kharrasov K.R., Moseva M.S., Gorodnichev M.G.
|
| Vol 30, No 1 (2024) |
A technique for creating and training an artificial neural network to detect network traffic anomalies |
 (Rus)
|
|
Ivanov S.O.
|
| Vol 29, No 10 (2023) |
Quantum neural networks in the problem of pattern recognition |
 (Rus)
|
|
Akhmed S., Skorodumov S.V., Akhmed S.
|
| Vol 29, No 7 (2023) |
Super-resolution neural network models comparison method for brain MRI images based on PSNR and SSIM metrics |
 (Rus)
|
|
Gridin V.N., Kiselev A.M., Solodovnikov V.I.
|
| Vol 29, No 6 (2023) |
Methods for monitoring and diagnosing space communication and orientation subsystems |
 (Rus)
|
|
Shishkin O.G.
|
| Vol 29, No 9 (2023) |
Design of personalized user interfaces of intelligent training systems based on neural network technologies |
 (Rus)
|
|
Tagirova L.F., Semenova N.G.
|
| Vol 29, No 9 (2023) |
Intelligent system for recognition of road infrastructure objects using a neural network model |
 (Rus)
|
|
Khusainov R.M., Talipov N.G., Katasev A.S.
|
| Vol 29, No 2 (2023) |
Building an optimal convolutional neural network model for solving complex character recognition problems |
 (Rus)
|
|
Trubin A.E., Batishchev A.V., Aleksahin A.N., Zubanova A.E., Morozov A.A.
|
| Vol 29, No 2 (2023) |
Neuro-fuzzy classification of technical conditions of objects of complex structure |
 (Rus)
|
|
Mantserov S.A.
|
| Vol 28, No 12 (2022) |
Analysis of neural network intrusion detection methods and datasets for their training |
 (Rus)
|
|
Avdoshin S.M., Pantiukhin D.V., Voronkov I.M., Nazarov A.N., Muhamadiev V.I., Gordenko M.K., Dam N., Nguyen N.
|
| Vol 28, No 12 (2022) |
Individual learning trajectories and their classification using a neural network |
 (Rus)
|
|
Sosinskaya S.S., Ashikhmin R.V., Dorofeev A.S.
|
| Vol 28, No 10 (2022) |
Method of hydrological time series recovery using neural network technologies |
 (Rus)
|
|
Korotchenko R.A., Kosheleva A.V.
|
| Vol 28, No 9 (2022) |
Efficiency of using one-dimensional convolutional layers in a neural network on the example of classification a meteorological station according to wind speeds time series data |
 (Rus)
|
|
Kobzarenko D.N., Mustafaev A.G., Shikhsaidov B.I.
|
| Vol 28, No 8 (2022) |
Development of a method for generating images of road signs for training neural network models to recognize images in video streams |
 (Rus)
|
|
Pchelintsev S.Y., Kovaleva O.A.
|
| Vol 28, No 5 (2022) |
Quantum neural networks in machine learning: problems and prospects |
 (Rus)
|
|
Safronov K.Y.
|
| Vol 28, No 3 (2022) |
Neural network training in an automated dispatcher problem |
 (Rus)
|
|
Gorbachev R.A., Zakharova E.M., Makarov I.S., Frolov I.S.
|
| Vol 27, No 9 (2021) |
Neural network based on the special potential function for the recognition of the multifunctional signal |
 (Rus)
|
|
Afonin V.L., Sleptsov V.V.
|
| Vol 26, No 12 (2020) |
Defect detection using FCN modification for finding rare defects on large areas |
 (Rus)
|
|
Bukalov G.K., Burygin A.O., Panin I.G., Tortsev A.V.
|
| Vol 26, No 11 (2020) |
Architectural features of neural network forecasting software systems with continuous training |
 (Rus)
|
|
Miloserdov D.I.
|
| Vol 25, No 12 (2019) |
Application of modular arithmetic methods in the development of hardware implementations of neural networks |
 (Rus)
|
|
Solovyev R.A., Telpukhov D.V., Kustov A.G., Isaeva T.U., Volkov A.A.
|
| Vol 25, No 7 (2019) |
Neural network target distribution model for computing system of data flow architecture |
 (Rus)
|
|
Barsky А.B., Melnik D.I.
|
| Vol 25, No 5 (2019) |
Computer-assisted language learning based on convolutional neural networks and information theory of speech perception |
 (Rus)
|
|
Savchenko L.V.
|
| Vol 25, No 3 (2019) |
The choice of the iteration step in the process of learning a neural network using relaxation algorithms |
 (Rus)
|
|
Abdullayev N.T., Ismayilova K.S.
|
| Vol 25, No 2 (2019) |
Neural network methods of quality management during the modernization and development of complex systems in the context of financial and technological constraints |
 (Rus)
|
|
Barsky A.B., Melnik D.I., Reshetnikov A.V.
|
| Vol 25, No 2 (2019) |
Modelling of intelligent access monitoring and control system for vehicles with using the deep neural networks |
 (Rus)
|
|
Amosov O.S., Amosova S.G., Ivanov Y.S., Zhiganov S.V.
|
| Vol 24, No 6 (2018) |
Application of neuroet network technology for flikker-noise spectroscopy of electrocardiogram |
 (Rus)
|
|
Abdullaev N.T., Qasankuliyeva М.М., Dzhabieva A.D.
|
| Vol 24, No 6 (2018) |
Quality improvement of intrusion classification through convolution neural network by training on balanced samples |
 (Rus)
|
|
Pantiukhin D.V., Karelova E.
|
| Vol 24, No 5 (2018) |
Reducing method of positional-modular converting large numbers for neural networks to the end rings |
 (Rus)
|
|
Kolyada А.A., Kuchynski P.V., Chervyakov N.I.
|
| Vol 24, No 2 (2018) |
A logical approach to the correction of the results of the operation of SP-neural networks |
 (Rus)
|
|
Lyutikova L.A., Shmatova E.V.
|
| Vol 24, No 2 (2018) |
Exploring the possibility of using deep convolutional neural network paired with neural "biometric image to code" converter in face recognition |
 (Rus)
|
|
Kulikov S.V., Zakharov O.S., Andreev D.Y.
|
| Vol 24, No 2 (2018) |
Optimal selection and aggregation of exogenous variables in neural network models of bankruptcies based on Harrington functions |
 (Rus)
|
|
Gorbatkov S.A., Polupanov D.V.
|
| Vol 23, No 12 (2017) |
Optimization of the artificial neural network with allowing for delay |
 (Rus)
|
|
Andreeva E.A., Khramov I.S.
|
| Vol 23, No 8 (2017) |
Using the methods of the interval estimation of the results of the control of knowledge in computer testing systems |
 (Rus)
|
|
Pechnikov D.A.
|
| Vol 23, No 8 (2017) |
The development of neuro-fuzzy module calculating the priority dispatching tasks to railway station |
 (Rus)
|
|
Kadyeva L.M., Levin S.E., Okrent Y.N., Loskutov D.I., Romanenkov A.M.
|
| Vol 23, No 7 (2017) |
The feedforward neural network with calculated parameters |
 (Rus)
|
|
Geidarov P.S.
|
| Vol 23, No 5 (2017) |
Neural network method of accelerated adoption of the operating system, making supercomputer EPIC-architecture |
 (Rus)
|
|
Barsky A.B.
|
| Vol 23, No 3 (2017) |
Neural network modeling of the formation of cluster structures on the basis of the networks ART |
 (Rus)
|
|
Kashirina I.L., Lvovich Y.E., Sorokin S.O.
|
| Vol 23, No 3 (2017) |
On an approach to the selection of the optimal FPGA architecture
in neural network logical basis |
 (Rus)
|
|
Mikhailyuk Т.Е., Zhernakov S.V.
|
| Vol 23, No 1 (2017) |
Associative memory as a neuronetwork environment of combined knowledge space |
 (Rus)
|
|
Kharlamov A.A.
|
| Vol 23, No 1 (2017) |
The derivation of the information from artificial feed-forward neural networks in the form of the simple algebraic models |
 (Rus)
|
|
Pekunov V.V.
|
| Vol 22, No 11 (2016) |
The compact description of variative fields of physical variables in the repetitive tasks of simulation of atmospheric pollution's transfer |
 (Rus)
|
|
Pekunov V.V.
|
| Vol 22, No 11 (2016) |
Theoretical aspects of optimization of evolutionary learning of neurochips using "Isolates" |
 (Rus)
|
|
Kurgalin S.D., Turovsky Y.A., Borzunov S.V., Адаменко А.А.
|
| Vol 22, No 9 (2016) |
A two-level system for DoS attacks and their components detection
based on the neural networks CMAC |
 (Rus)
|
|
Aved’yan Е.D., Le T.
|
| Vol 22, No 9 (2016) |
Correction of methodical and casual components of errors of calculation of the coefficients of correlation arising on small selections of biometric data |
 (Rus)
|
|
Kulagin V.P., Ivanov A.I., Serikova Y.I.
|
| Vol 22, No 7 (2016) |
New microelectronics technology and the development of advanced neurocomputers |
 (Rus)
|
|
Galushkin A.I.
|
| Vol 22, No 7 (2016) |
Automatic digital modulation recognition of radio signals using multilayer neural network with cumulant features |
 (Rus)
|
|
Dam V.
|
| Vol 22, No 4 (2016) |
Supercomputers and memristors |
 (Rus)
|
|
Galushkin A.I., Pantiukhin D.V.
|
| Vol 22, No 4 (2016) |
Selection of Optimal Time Series Classification Model |
 (Rus)
|
|
Zadayanchuk A.I., Popova M.S., Strijov V.V.
|
| Vol 21, No 12 (2015) |
Neorochips and neuromorphic computers: a modelling challenges |
 (Rus)
|
|
Galushkin A.I.
|
| Vol 21, No 12 (2015) |
Neural network iterative method for constructing dynamic models of the probability of bankruptcy risk at incomplete data |
|
|
Gorbatkov S.A., Kasimova L.I.
|
| Vol 21, No 10 (2015) |
Learned and self-learning recognition, management and decision-making systems on base of the logical neural networks |
 (Rus)
|
|
Barsky A.B.
|
| Vol 21, No 10 (2015) |
Methods of numerical identification for Markov models and their comparative analysis |
 (Rus)
|
|
Kuravsky L.S., Marmalyuk P.A., Yuryev G.A., Dumin P.N.
|
| Vol 21, No 8 (2015) |
Associative and spatial addressing to memory of recurrent neural networks |
 (Rus)
|
|
Osipov V.Y.
|
| Vol 21, No 8 (2015) |
Comparative analysis of exchange index forecast error by using methods of exponential smoothing and neural network modeling |
 (Rus)
|
|
Lyozina I.V.
|
| Vol 21, No 6 (2015) |
Clustering and classification of multidimensional data by Kohonen’s cellular neural network |
 (Rus)
|
|
Anikin V.I., Karmanova A.A.
|
| Vol 21, No 6 (2015) |
Neural network assessment challenges IDEF-charts |
 (Rus)
|
|
Uskov A.A., Zhukova A.G.
|
| Vol 21, No 4 (2015) |
Neural network algorithm for symmetric encryption |
 (Rus)
|
|
Griding V.N., Solodovnikov V.I., Evdokimov I.A.
|
| Vol 21, No 4 (2015) |
Signal processing system of DFMN segmental type for recognition of dynamic images using neural networks |
 (Rus)
|
|
Kulchin Y.N., Kim A.Y., Notkin B.S., Lyuhter A.B.
|
| Vol 21, No 2 (2015) |
Memristor in high-performance computing development |
 (Rus)
|
|
Galushkin A.I.
|
| Vol 21, No 2 (2015) |
The use of neural functions for graphical evaluation contamination emissions group sources |
 (Rus)
|
|
Fedosov V.V., Fedosova A.V.
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