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Scopus Author ID: 57190283553
SciProfiles: 1510797

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Employment (1)

Peter the Great Saint Petersburg State Polytechnical University: Saint Petersburg, RU

(High Mathematics)
Employment
Source: Self-asserted source
Tatiana Lazovskaya

Education and qualifications (2)

Saint Petersburg State University: Saint-Petersburg, Saint-Petersburg, RU

2007-09-01 to 2009 | Magister (Applied mathematics and mechanics: Biostatistic)
Education
Source: Self-asserted source
Tatiana Lazovskaya

Saint Petersburg State University: Saint-Petersburg, Saint-Petersburg, RU

2002-09-01 to 2007 | specialist (Theory of Probability and Mathematical Statistics)
Education
Source: Self-asserted source
Tatiana Lazovskaya

Works (21)

Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator

Studies in Computational Intelligence
2023 | Book chapter
DOI: 10.1007/978-3-031-19032-2_54
Part of ISBN: 9783031190315
Part of ISBN: 9783031190322
Part of ISSN: 1860-949X
Part of ISSN: 1860-9503
Contributors: Tatiana Lazovskaya; Tatiana Lazovskaya; Dmitriy Tarkhov; Darya Chernukha; Alexander Korchagin; Galina Malykhina
Source: Self-asserted source
Tatiana Lazovskaya

Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data

Studies in Computational Intelligence
2023 | Book chapter
DOI: 10.1007/978-3-031-19032-2_42
Part of ISBN: 9783031190315
Part of ISBN: 9783031190322
Part of ISSN: 1860-949X
Part of ISSN: 1860-9503
Contributors: Tatiana Lazovskaya; Tatiana Lazovskaya; Dmitriy Tarkhov; Alina Dudnik; Elena Koksharova; Olga Mochalova; Danil Muranov; Ksenia Pozhvanyuk; Anastasia Sysoeva
Source: Self-asserted source
Tatiana Lazovskaya

Adapting PINN Models of Physical Entities to Dynamical Data

Computation
2023-09 | Journal article | Author
DOI: 10.3390/computation11090168
Contributors: Dmitry Tarkhov; Tatiana Lazovskaya; Valeriy Antonov
Source: check_circle
Multidisciplinary Digital Publishing Institute

Evolutionary PINN Learning Algorithms Inspired by Approximation to Pareto Front for Solving Ill-Posed Problems

Computation
2023-08 | Journal article | Author
DOI: 10.3390/computation11080166
Contributors: Tatiana Lazovskaya; Dmitry Tarkhov; Maria Chistyakova; Egor Razumov; Anna Sergeeva; Tatyana Alekseevna Shemyakina
Source: check_circle
Multidisciplinary Digital Publishing Institute

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 | Journal article | Author
DOI: 10.3390/s23020663
Contributors: Dmitry Tarkhov; Tatiana Lazovskaya; Galina Malykhina
Source: check_circle
Multidisciplinary Digital Publishing Institute

Examining the Effectiveness of Computer-Supported Collaborative Learning for Language Proficiency Purposes

Sustainability
2022-05 | Journal article | Author
DOI: 10.3390/su14105908
Contributors: Alexandra Dashkina; Aleksandra Kobicheva; Tatiana Lazovskaya; Elena Tokareva; Dmitriy Tarkhov; Irina Guselnikova
Source: check_circle
Multidisciplinary Digital Publishing Institute

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

Computation
2021-09 | Journal article | Author
DOI: 10.3390/computation9090097
Contributors: Tatiana Lazovskaya; Galina Malykhina; Dmitry Tarkhov
Source: check_circle
Multidisciplinary Digital Publishing Institute

Intelligent LED Certification System in Mass Production

Sensors
2021-04 | Journal article | Author
DOI: 10.3390/s21082891
Contributors: Galina Malykhina; Dmitry Tarkhov; Viacheslav Shkodyrev; Tatiana Lazovskaya
Source: check_circle
Multidisciplinary Digital Publishing Institute

Construction of an Individual Model of the Deflection of a PVC-Specimen Based on a Differential Equation and Measurement Data

2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)
2020-10-06 | Conference paper
DOI: 10.1109/fareastcon50210.2020.9271144
ISBN: 9781728169514
Source: Self-asserted source
Tatiana Lazovskaya
grade
Preferred source (of 2)‎

Multi-Layer Solution of Heat Equation

Advances in Neural Computation, Machine Learning, and Cognitive Research
2018 | Book chapter
DOI: 10.1007/978-3-319-66604-4_3
Part of ISBN: 9783319666037
Part of ISBN: 9783319666044
Part of ISSN: 1860-949X
Part of ISSN: 1860-9503
Source: Self-asserted source
Tatiana Lazovskaya

Parametric neural network modeling in engineering

Recent Patents on Engineering
2017 | Journal article
DOI: 10.2174/1872212111666161207155157
EID:

2-s2.0-85015665720
Contributors: Lazovskaya, T.V.; Tarkhov, D.A.; Vasilyev, A.N.
Source: Self-asserted source
Tatiana Lazovskaya 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
Tatiana Lazovskaya via Scopus - Elsevier

Multilayer neural network models based on grid methods

IOP Conference Series: Materials Science and Engineering
2016 | Conference paper
DOI: 10.1088/1757-899X/158/1/012061
EID:

2-s2.0-85014415554
Contributors: Lazovskaya, T.; Tarkhov, D.
Source: Self-asserted source
Tatiana Lazovskaya 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
DOI: 10.1007/978-3-319-40663-3_59
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
Tatiana Lazovskaya 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
DOI: 10.1088/1742-6596/772/1/012032
EID:

2-s2.0-85009926961
Contributors: Bolgov, I.; Kaverzneva, T.; Kolesova, S.; Lazovskaya, T.; Stolyarov, O.; Tarkhov, D.
Source: Self-asserted source
Tatiana Lazovskaya via Scopus - Elsevier

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

Journal of Physics: Conference Series
2016 | Journal article
DOI: 10.1088/1742-6596/772/1/012035
EID:

2-s2.0-85009921452
Contributors: Kaverzneva, T.; Lazovskaya, T.; Tarkhov, D.; Vasilyev, A.
Source: Self-asserted source
Tatiana Lazovskaya via Scopus - Elsevier

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

Journal of Physics: Conference Series
2016 | Journal article
DOI: 10.1088/1742-6596/772/1/012041
EID:

2-s2.0-85009902147
Contributors: Filkin, V.; Kaverzneva, T.; Lazovskaya, T.; Lukinskiy, E.; Petrov, A.; Stolyarov, O.; Tarkhov, D.
Source: Self-asserted source
Tatiana Lazovskaya 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
DOI: 10.1007/978-3-319-40663-3_32
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
Tatiana Lazovskaya 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
DOI: 10.1007/978-3-319-40663-3_36
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
Tatiana Lazovskaya via Scopus - Elsevier

Problems in Calculating Moments and Distribution Functions of Ladder Heights

Journal of Mathematical Sciences (United States)
2016 | Journal article
DOI: 10.1007/s10958-016-3021-9
EID:

2-s2.0-84984653774
Contributors: Lazovskaya, T.V.; Nagaev, S.V.
Source: Self-asserted source
Tatiana Lazovskaya via Scopus - Elsevier

Fresh approaches to the construction of parameterized neural network solutions of a stiff differential equation

St. Petersburg Polytechnical University Journal: Physics and Mathematics
2015 | Journal article
DOI: http://dx.doi.org/10.1016/j.spjpm.2015.07.005
Source: Self-asserted source
Tatiana Lazovskaya
grade
Preferred source (of 2)‎

Peer review (1 review for 1 publication/grant)

Review activity for Neural Processing Letters. (1)
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