Constructing physics-informed neural networks with architecture based on analytical modification of numerical methods by solving the problem of modelling processes …

D Tarkhov, T Lazovskaya, G Malykhina - Sensors, 2023 - mdpi.com
A novel type of neural network with an architecture based on physics is proposed. The
network structure builds on a body of analytical modifications of classical numerical …

Fire Safety of Municipal Solid Waste Land Fills

OA Zybina, ES Zorde… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This article shows the development of fire safety system of solid waste land fills. Land fill fires
are the most common threat because they are facilitated by the formation of biogas, and …

Semi-empirical neural network model of real thread sagging

AN Vasilyev, DA Tarkhov, VA Tereshin… - Advances in Neural …, 2018 - Springer
We propose a new approach to building multilayer neural network models of real objects. It
is based on the method of constructing approximate layered solutions for ordinary …

Neural network modeling of safety system for construction equipment operation in permafrost zone

JI Idrisova, TT Kaverzneva… - … Series: Earth and …, 2019 - iopscience.iop.org
The problems of neural network modeling of working conditions securing system while
operating constructional equipment in permafrost zone are considered. Determining the …

Multi-layer solution of heat equation

T Lazovskaya, D Tarkhov, A Vasilyev - … October 2-6, 2017, Moscow, Russia …, 2018 - Springer
A new approach to the construction of multilayer neural network approximate solutions for
evolutionary partial differential equations is considered. The approach is based on the …

Construction of an individual model of the deflection of a PVC-specimen based on a differential equation and measurement data

T Lazovskaya, G Malykhina… - 2020 International Multi …, 2020 - ieeexplore.ieee.org
The article discusses one of the topical problems of modern modeling and control of real
objects, the construction of a model of the deflection of a specimen of PVC tape in several …

Application of Multilayer Neural Network Methods for Modelling Individual Sections of a Drawbridge

A Ashcheulov, T Lazovskaya, V Palamarchuk… - International Conference …, 2024 - Springer
The problem of constructing and adapting multilayer neural network models of nonlinear
dynamic systems has been solved using the example of units within the structure of a …

Comparison of Neural Network Models and Models Based on Analytical Modification of Numerical Methods Using the Example of Nonlinear Bending Analysis of …

T Lazovskaya, V Palamarchuk, E Razumov… - International Conference …, 2024 - Springer
This study explores the use of neural network methods and analytical modifications of
classical numerical methods to solve dynamic engineering problems. We focus on …

Обеспечение пожарной безопасности полигонов твёрдых бытовых отходов

ОА Зыбина, ЕС Зорде, ДИ Савельев - … муниципальными отходами как …, 2018 - elibrary.ru
В статье показано развитие системы пожарной безопасности полигонов твердых
бытовых отходов. Наиболее распространенной угрозой являются пожары на свалках …

[HTML][HTML] НОВЫЕ ВОЗМОЖНОСТИ ПРОГНОЗИРОВАНИЯ ВОЗОБНОВЛЕНИЯ КЛИНИЧЕСКИХ ПРОЯВЛЕНИЙ ИШЕМИЧЕСКОЙ БОЛЕЗНИ СЕРДЦА ПОСЛЕ …

ГА Березовская, ТВ Лазовская, ДА Тархов… - Кардиология …, 2022 - cyberleninka.ru
Трудности в прогнозировании течения ишемической болезни сердца (ИБС) после
эндоваскулярной реваскуляризации связаны с разнообразием клинических вариантов …