Журнал «Радиотехника» | Издательство РАДИОТЕХНИКА

A.O. Vasilyev - Post-graduate Student, Moscow State University of Medicine and Dentistry named after A.I. Evdokimov. E-mail: lexvasilyev@me.com
A.V. Govorov - Ph.D. (Med.), Assоciate Professor, Moscow State University of Medicine and Dentistry named after A.I. Evdokimov. E-mail: alexgovorov@newmail.ru
A.V. Pushkarev - Magister Department «E4», BMSTU, Engineer of 1st category, Department of Medical equipment, RMAPO. E-mail: pushkarev@bmstu.ru
D.I. Tsiganov - Dr. Sc. (Eng.) Professor, Head of Department «Medical equipment», RMAPO. E-mail: dtsiganov@yandex.ru
A.V. Shakurov - Magister Department «E4», BMSTU, Engineer Power Engineering Research Institute of the BMSTU. E-mail: shakurov@bmstu.ru

Resource load prediction in computer cloud using Elman networks teached by artificial immune systems

R.I. Khantimirov - Post-graduate Student, Moscow State University of Economics, Statistics and Informatics. E-mail: ramilkh@gmail.com

Comparative study of iterative and direct neural network short term electricity load forecasting of a city

I.E. Shepelev - Ph.D. (Eng.), Senior Research Scientist, A.B. Kogan Research Institute for Neurocybernetics, Academy of biology and biotechnology, Southern Federal University (Rostov-on-Don). E-mail: shepelev@krinc.ru I.I. Nadtoka - Dr.Sc. (Eng.), Professor, Head of the Department, Platov South-Russian State Polytechnic University (NPI) (Novocherkassk). E-mail: ii_nadtoka@mail.ru S.A. Vialkova - Engineer, Platov South-Russian State Polytechnic University (NPI) (Novocherkassk). E-mail: mazaeva_sveta@mail.ru S.O. Gubski - Ph.D. (Eng.), Platov South-Russian State Polytechnic University (NPI) (Novocherkassk). E-mail: hromo@inbox.ru

About one the method for monitoring the quality of functioning complex technical systems during their operation

N.A. Severtsev - Dr. Sc. (Eng.), Professor, Head of Department , FRC «Computer Science and Control» RAS (Moscow). E-mail: sevheart@yandex.ru V.V. Shipilov - Dr. Sc. (Eng.), Associate Professor, Department of Russian Defence Ministry. E-mail: fgushipilov@yandex.ru

Neural network technologies in identification properties of alloys

V.P. Dobritsa - Dr.Sc. (Phys.-Math.), Professor, Department of Information Systems and Technologies, Southwest State University (Kursk) E-mail: dobritsa@mail.ru E.A. Kuleshova - Lecturer, Department of Information Systems and Technologies, Southwest State University (Kursk) E-mail: lena.kuleshova.94@mail.ru

Time series forecasting based on symbolic regression

Yu.E. Gapanyuk - Ph.D. (Eng.), Associate Professor, Department of Information Processing and Control Systems, Bauman Moscow State Technical University E-mail: gapyu@bmstu.ru A.N. Nardid - Post-graduate Student, Department of Information Processing and Control Systems, Bauman Moscow State Technical University E-mail: anatnar@yandex.ru A.V. Gushcha - Post-graduate Student, Department of Information Processing and Control Systems, Bauman Moscow State Technical University E-mail: ncrashed@gmail.com

A A simulation model of data on the technical condition of the functional systems of the radar when solving the problem of forecasting failures

V.M. Antoshina – Part-programming Engineer,

JSC «A.L. Mints Radiotechnical Institute» (Moscow), HSSI MPTI

E-mail: vantoshina@rti-mints.ru

I.B. Zager – Head of the Educational Part – Deputy Head of the Department,

Lomonosov Moscow State University

E-mail: igor2007@bk.ru

A.S. Logovsky – General Designer,

JSC «A.L. Mints Radiotechnical Institute» (Moscow)

E-mail: logovsky@rti-mints.ru

K.V. Lvov – Student,

Faculty of Physics, Lomonosov Moscow State University

E-mail: lvov.kv14@physics.msu.ru

A.Yu. Perlov – Head of Sector,

JSC «A.L. Mints Radiotechnical Institute» (Moscow) E-mail: aperlov@rti-mints.ru

Using a neural network to select methods for predicting time series in a hybrid combined model

D.V. Yashin – Post-graduate Student, Ulyanovsk State Technical University

E-mail: dv.yashin@yandex.ru

E.N. Egov – Assistant, Ulyanovsk State Technical University E-mail: e.egov@ulstu.ru

The formulation and solution of forecasting problems of multidimensional time series based on fuzzy cognitive models

V.S. Luferov – Post-graduate Student, National Research University «Moscow Power Engineering Institute»

E-mail: lyferov@yandex.ru

Multi-agent systems and supercomputing technologies in the social sciences

V.L. Makarov – Academician of RAS, Dr.Sc.(Phys.-Math.), Director, Central Economics and Mathematics Institute of the Russian Academy of Sciences (CEMI RAS) (Moscow)

E-mail: makarov@cemi.rssi.ru

A.R. Bakhtizin – Dr.Sc. (Econ.), Head of the Laboratory, Central Economics and Mathematics Institute of the Russian Academy of Sciences (CEMI RAS) (Moscow)

E-mail: albert.bakhtizin@gmail.com

E.D. Sushko – Ph.D. (Econ.), Leading Researcher, Central Economics and Mathematics Institute of the Russian Academy of Sciences (CEMI RAS) (Moscow)

E-mail: sushko_e@mail.ru

Development of a library for the group method of data handling

A.S. Babin1, M.I. Baryshnikov2, V.A. Galkin3, Yu.E. Gapanyuk4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

Electrical energy consumption prediction using machine learning methods

A.N. Alyunov1, K.D. Mosolova2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

Methods for predicting failures of functional elements of rocket and space technology products using visual decomposition and machine learning

A.Yu. Viryasova1, A.I. Vlasov2, D.I. Klimov3, T.T. Mamedov4, A.P. Myagkov5

1,3–5 JSC "Russian Space Systems" (Moscow, Russia)

2 Bauman Moscow State Technical University (Moscow, Russia)

1 virnastya@yandex.ru, 2 vlasovai@bmstu.ru, 3 klimov.di@spacecorp.ru,

4 mamedov.tt@spacecorp.ru, 5 contact@spacecorp.ru

Methodology for determining critical elements of an information and measurement system based on forecasting the values of their technical characteristics

V.V. Lisitsky1, D.M. Vyaldin2

1,2 Military Space Academy named after A.F. Mozhaisky (Saint-Petersburg, Russia)

1 vka@mil.ru, 2 dmitriy_vyaldin@mail.ru

Optimization of neural network architecture using genetic algorithms: a case study in diabetes prediction

Hou Menhai1

1 Peoples' Friendship University of Russia (Moscow, Russia)

1 houmenhai@gmail.com

Model of the influence of adverse weather conditions on the congestion of the transport network

R.S. Ekhlakov1, V.A. Sudakov2

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
2 Institute of Applied Mathematics n. a. M.V. Keldysh RAS (Moscow, Russia)
1 rsekhlakov@fa.ru, 2 vasudakov@fa.ru

Real-time model for assessing and forecasting transport network congestion

R.S. Ekhlakov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 rsekhlakov@fa.ru