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Polynomial Neural Network Approximation of Duffing Equation Solution

2023 | Book chapter
Contributors: Tatiana V. Lazovskaya; Galina F. Malykhina; Dmitriy M. Pashkovskiy; Dmitriy A. Tarkhov
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Adapting PINN Models of Physical Entities to Dynamical Data

Computation
2023-09-01 | Journal article
Contributors: Dmitriy Tarkhov; Tatiana Lazovskaya; Valery Antonov
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Evolutionary PINN Learning Algorithms Inspired by Approximation to Pareto Front for Solving Ill-Posed Problems

Computation
2023-08-21 | Journal article
Contributors: Tatiana Lazovskaya; Dmitriy Tarkhov; Maria Chistyakova; Egor Razumov; Anna Sergeeva; Tatiana Shemyakina
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Evolutionary Approach to PINN Architecture Design for Approximate Solving the Laplace Equation in two Statements: with Discontinuous Initial Condition or with Measurement Data Inside a Square Domain

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2023-06-30 | Journal article
Contributors: Т.В. Лазовская; Д.А. Тархов; Т.А. Шемякина; М.Д. Чориев
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Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Sensors
2023-01-06 | Journal article
Contributors: Dmitriy Tarkhov; Tatiana Lazovskaya; Galina Malykhina
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Improving the Efficiency of Professional Education in the Context of the Fourth Industrial Revolution: Project-Based Approach

2022 | Book chapter
Contributors: Aleksandra Dashkina; Alexander Dmitrijev; Aleksandra Kobicheva; Liudmila Khalyapina; Aleksandra Loginova; Dmitrii Tarkhov
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New possibilities for predicting the resumption of clinical manifestations of coronary artery disease after endovascular intervention

Cardiology: News, Opinions, Training
2022 | Journal article
Contributors: G.A. Berezovskaya; T.V. Lazovskaya; D.A. Tarkhov; E.G. Malev; N.N. Petrishchev; M.A. Karpenko
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The Deflection of Circle Membrane by the Action of a Cargo Located Asymmetrically Relatively to the Center

2022 | Book chapter
Contributors: Dmitriy A. Tarkhov; Mariya R. Bortkovskaya; Tatyana T. Kaverzneva; Natalya Koreykina; Alyona Bondarchuck; Chernaya Ekaterina; Kozhanova Polina
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Comparative Analysis of New Semi-empirical Methods of Modeling the Sag of the Thread

2021 | Book chapter
Contributors: Marina Berminova; Aliya Galyautdinova; Alexandra Kobicheva; Valery Tereshin; Dmitry Tarkhov; Alexander Vasilyev
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Comparison of Multilayer Methods of Solutions to the Spectral Cauchy Problem for the Wave Equation

2021 | Book chapter
Contributors: Alexander Vasilyev; Dmitry Tarkhov; Tatiana Lazovskaya
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Construction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material

2021 | Book chapter
Contributors: Dmitry Tarkhov; Valeriy Tereshin; Galina Malykhina; Anastasia Gomzina; Ilya Markov; Pavel Malykh
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Neural Network Installation of the Functional Dependence of Mechanical Behavior in the Expansion of Elastic Material from Temperature

2021 | Book chapter
Contributors: Ekaterina Filchuk; Juriy Kasparov; Tatyana Kaverzneva; Juliya Sedova; Oleg Stolyarov; Dmitriy Tarkhov; Evgeniy Varshavchik; Ildar Zulkarnay
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Экстраполяция решения уравнения Дуффинга при помощи RBF-сети

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2021-12-20 | Journal article
Contributors: Т.В. Лазовская; Г.Ф. Малыхина; Д.М. Пашковский; Д.А. Тархов
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Исследование прогностических возможностей многослойной нейроморфной модели, управляемой данными, на примере осциллятора Дуффинга

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2021-09-30 | Journal article
Contributors: А.Н. Васильев; В.А. Гороховская; А.П. Корчагин; Т.В. Лазовская; Д.А. Тархов; Д.А. Чернуха
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Численное моделирование прогиба круглой мембраны под действием груза, расположенного со смещением относительно ее центра

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2021-09-30 | Journal article
Contributors: М.Р. Бортковская; А.Н. Васильев; Т.Т. Каверзнева; П.А. Кожанова; В.В. Кудрявцева; Д.А. Тархов; Е.С. Чёрная
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Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

Computation
2021-09-06 | Journal article
Contributors: Tatiana Lazovskaya; Galina Malykhina; Dmitry Tarkhov
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Application of the Multi-layer Method and Method of Continuing at the Best Parameter to the Solving of a Stiff Equation

2020 | Book chapter
Contributors: Elena Budkina; Evgenii Kuznetsov; Dmitry Tarkhov; Anastasia Gomzina; Semyon Maltsev
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Arc Length and Multilayer Methods for Solving Initial Value Problems for Differential Equations with Contrast Structures

2020 | Book chapter
Contributors: Evgenii Kuznetsov; Sergey Leonov; Dmitry Tarkhov; Ekaterina Tsapko; Anastasia Babintseva
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Comparison of Neural Network and Multilayered Approach to the Problem of Identification of the Creep and Fracture Model of Structural Elements Based on Experimental Data

2020 | Book chapter
Contributors: Alexander Vasilyev; Evgenii Kuznetsov; Sergey Leonov; Dmitry Tarkhov
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The Construction of the Approximate Solution of the Chemical Reactor Problem Using the Feedforward Multilayer Neural Network

2020 | Book chapter
Contributors: Dmitriy A. Tarkhov; Alexander N. Vasilyev
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Аппроксимация функций Бесселя методом построения многослойных решений дифференциальных уравнений

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2020-09-30 | Journal article
Contributors: А.Н. Васильев; Т.В. Лазовская; Д.А. Тархов
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Comparative Testing of the Neural Network and Semi-empirical Method on the Stabilization Problem of Inverted Pendulum

2019 | Book chapter
Contributors: Egor A. Degilevich; Aleksandra M. Kobicheva; Valery A. Kozhin; Anastasia D. Subbota; Ilya Y. Surikov; Dmitry A. Tarkhov; Valery A. Tereshin
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Semiempirical Model of the Real Membrane Bending

2019 | Book chapter
Contributors: Dmitriy A. Takhov; Mariya R. Bortkovskaya; Tatyana T. Kaverzneva; Daniel R. Kapitsin; Irina A. Shishkina; Daria A. Semenova; Pavel P. Udalov; Ildar U. Zulkarnay
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The Problem of Solution Restoration by Measurements for the Laplace Equation

2019 | Book chapter
Contributors: Dmitry A. Tarkhov; Maksim A. Migovan; Kirill A. Ivanenko; Sergey A. Smirnov; Aleksandra M. Kobicheva
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Многослойный метод идентификации характеристик ползучести в интервале напряжений для задачи разрушения металлов в условиях ползучести

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2019-12-23 | Journal article
Contributors: А.Н. Васильев; Е.Б. Кузнецов; С.С. Леонов; Д.А. Тархов
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Методы создания цифровых двойников на основе нейросетевого моделирования

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2018-09-30 | Journal article
Contributors: Ф. МАЛЫХИНА Г; А. ТАРХОВ Д; Н. ВАСИЛЬЕВ А
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Сравнение решений жёсткой задачи на сфере многослойным методом и методом продолжения по наилучшему параметру

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2018-09-30 | Journal article
Contributors: М. БУДКИНА Е; Б. КУЗНЕЦОВ Е; А. ТАРХОВ Д; А. ГОМЗИНА А; Д. МАЛЬЦЕВ С
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Multilayer parametric models of processes in a porous catalyst pellet

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2018-03-30 | Journal article
Contributors: Оlga D Borovskaya; Tatiana V Lazovskaya; Xenia V Skolis; Dmitry А Tarkhov; Alexander N Vasilyev
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Neural network method of restoring an initial profile of the shock wave

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2018-03-30 | Journal article
Contributors: Tatiana A Shemyakina; Dmitriy A Tarkhov; Alexandra R Beliaeva; Ildar U Zulkarnay
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Neural network approach to intricate problems solving for ordinary differential equations

Optical Memory and Neural Networks (Information Optics)
2017 | Journal article
EID:

2-s2.0-85021673331

Contributors: Budkina, E.M.; Kuznetsov, E.B.; Lazovskaya, T.V.; Tarkhov, D.A.; Shemyakina, T.A.; Vasilyev, A.N.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Parametric neural network modeling in engineering

Recent Patents on Engineering
2017 | Journal article
EID:

2-s2.0-85015665720

Contributors: Lazovskaya, T.V.; Tarkhov, D.A.; Vasilyev, A.N.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Possibilities of neural networks for personalization approaches for prevention of complications after endovascular interventions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
EID:

2-s2.0-85021679842

Contributors: Lazovskaya, T.V.; Tarkhov, D.A.; Berezovskaya, G.A.; Petrischev, N.N.; Zulkarnay, I.U.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

COMPARISON OF METHODS OF CONSTRUCTION OF APPROXIMATE ANALYTICAL SOLUTIONS OF DIFFERENTIAL EQUATIONS CONSIDERING ON THE EXAMPLE OF ELEMENTARY FUNCTIONS

Международный научный журнал "Современные информационные технологии и ИТ-образование"
2017-10-01 | Journal article
Contributors: А.Е. Картавченко; Д.А. Тархов
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Approximate analytical solutions of Mathieu's equations based on classical numerical methods

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-85009452977

Contributors: Tarkhov, D.; Shershneva, E.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Approximate analytical solutions of ordinary differential equations

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-85009508873

Contributors: Vasilyev, A.; Tarkhov, D.; Shemyakina, T.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Basis functions comparative analysis in consecutive data smoothing algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84978897993

Contributors: Tarasenko, F.D.; Tarkhov, D.A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Differential neural network approach in information process for prediction of roadside air pollution by peat fire

IOP Conference Series: Materials Science and Engineering
2016 | Conference paper
EID:

2-s2.0-85014410251

Contributors: Lozhkin, V.; Tarkhov, D.; Timofeev, V.; Lozhkina, O.; Vasilyev, A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Motor transport related harmful PM2.5 and PM10: From onroad measurements to the modelling of air pollution by neural network approach on street and urban level

Journal of Physics: Conference Series
2016 | Journal article
EID:

2-s2.0-85009909832

Contributors: Lozhkina, O.; Lozhkin, V.; Nevmerzhitsky, N.; Tarkhov, D.; Vasilyev, A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Multilayer neural network models based on experimental data for processes of sample deformation and destruction

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-85009415898

Contributors: Vasilyev, A.; Tarkhov, D.; Bolgov, I.; Kaverzneva, T.; Kolesova, S.; Lazovskaya, T.; Lukinskiy, E.; Petrov, A.; Filkin, V.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Multilayer neural network models based on grid methods

IOP Conference Series: Materials Science and Engineering
2016 | Conference paper
EID:

2-s2.0-85014415554

Contributors: Lazovskaya, T.; Tarkhov, D.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network approach in information process for predicting highway area air pollution by peat fire

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-85009488873

Contributors: Vasilyev, A.; Lozhkin, V.; Lozhkina, O.; Tarkhov, D.; Timofeev, V.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network methods for construction of sociodynamic models hierarchy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84978792889

Contributors: Blagoveshchenskaya, E.A.; Dashkina, A.I.; Lazovskaya, T.V.; Ryabukhina, V.V.; Tarkhov, D.A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network model of rupture conditions for elastic material sample based on measurements at static loading under different strain rates

Journal of Physics: Conference Series
2016 | Journal article
EID:

2-s2.0-85009926961

Contributors: Bolgov, I.; Kaverzneva, T.; Kolesova, S.; Lazovskaya, T.; Stolyarov, O.; Tarkhov, D.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network modeling of air pollution in tunnels according to indirect measurements

Journal of Physics: Conference Series
2016 | Journal article
EID:

2-s2.0-85009921452

Contributors: Kaverzneva, T.; Lazovskaya, T.; Tarkhov, D.; Vasilyev, A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network modeling of conditions of destruction of wood plank based on measurements

Journal of Physics: Conference Series
2016 | Journal article
EID:

2-s2.0-85009902147

Contributors: Filkin, V.; Kaverzneva, T.; Lazovskaya, T.; Lukinskiy, E.; Petrov, A.; Stolyarov, O.; Tarkhov, D.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network technique for processes modeling in porous catalyst and chemical reactor

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84978916796

Contributors: Shemyakina, T.A.; Tarkhov, D.A.; Vasilyev, A.N.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network technique in boundary value problems for ordinary differential equations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84978803556

Contributors: Budkina, E.M.; Kuznetsov, E.B.; Lazovskaya, T.V.; Leonov, S.S.; Tarkhov, D.A.; Vasilyev, A.N.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Neural network technique in some inverse problems of mathematical physics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84978859516

Contributors: Gorbachenko, V.I.; Lazovskaya, T.V.; Tarkhov, D.A.; Vasilyev, A.N.; Zhukov, M.V.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

The reversed problem of migration streams modeling

Journal of Physics: Conference Series
2016 | Journal article
EID:

2-s2.0-85009837029

Contributors: Tarkhov, D.A.; Shanshin, I.K.; Shakhanov, D.O.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier

Application of neural network modeling to identification and prediction problems in ecology data analysis for metallurgy and welding industry

Nonlinear Phenomena in Complex Systems
2014 | Journal article
EID:

2-s2.0-84902994945

Contributors: Kainov, N.U.; Tarkhov, D.A.; Shemyakina, T.A.
Source: Self-asserted source
Dmitry Tarkhov via Scopus - Elsevier
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