title: Modeling and Stabilization of an Irregular Pricing Mechanism on a Network of Local Markets
metadata.name: dc.contributor.author
metadata.value: Alexeeva, Tatyana Anatolyevna
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kuznetsov, Nikolay Vladimirovich
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mokaev, Timur Nazirovich
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Posudin, Konstantin Mikhailovich
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-01-10T12:02:57Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-01-10T12:02:57Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-12
metadata.lang: -
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu35.2023.404
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44573
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The accuracy of forecasting the expected values of economic indicators under conditions of irregular dynamics has a key role in taking optimal management decision-making. The solution of this current and complex task requires the use of modern artificial intelligence technologies, the wide introduction of which into the economy is aimed at by the Federal project ``Artificial Intelligence''. We demonstrate the effectiveness of combining artificial intelligence technologies and classical methods of mathematical control to detect irregular dynamics in the pricing mechanism and stabilize the revealed irregular mode through a small control action using a pricing model in the market of short-term goods as an example.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work is supported by the 2022-2023 program Leading
  Scientic Schools of the Russian Federation (project NSh-4196.2022.1.1) and
  St. Petersburg State University grant (PureID94029567).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Differential Equations and Control Processes;Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: nonlinear dynamics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: chaos
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: unstable periodic orbit
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: pricing model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Hénon map
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: deep machine learning
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: artificial intelligence
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Modeling and Stabilization of an Irregular Pricing Mechanism on a Network of Local Markets
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 53-66.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44573/1/53-66.pdf
resources.format: Adobe PDF
resources.size: 437,76 kB