APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE

Some original modifications of the genetic algorithms for analyzing the stationary states of the chemical dynamic systems at the defined thermodynamic parameters, IC engines among others, are offered. The development feature is allocation of small and large equation parameters among the equations an...

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Main Authors: Dmitry S. Girsh, Evgeny N. Ladosha, Svetlana N. Kholodova, Denis S. Tsymbalov
Format: Article
Language:Russian
Published: Don State Technical University 2018-07-01
Series:Вестник Донского государственного технического университета
Subjects:
Online Access:https://vestnik.donstu.ru/jour/article/view/841
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author Dmitry S. Girsh
Evgeny N. Ladosha
Svetlana N. Kholodova
Denis S. Tsymbalov
author_facet Dmitry S. Girsh
Evgeny N. Ladosha
Svetlana N. Kholodova
Denis S. Tsymbalov
author_sort Dmitry S. Girsh
collection DOAJ
description Some original modifications of the genetic algorithms for analyzing the stationary states of the chemical dynamic systems at the defined thermodynamic parameters, IC engines among others, are offered. The development feature is allocation of small and large equation parameters among the equations and their solutions. Along with the known neuronet methods, the development can be integrated in ‘Engine’ simulation system.
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spelling doaj.art-c47f483d53ad41439dc5f3f5f28c490b2022-12-22T01:12:04ZrusDon State Technical UniversityВестник Донского государственного технического университета1992-59801992-60062018-07-01118-111621168829APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINEDmitry S. Girsh0Evgeny N. Ladosha1Svetlana N. Kholodova2Denis S. Tsymbalov3Don State Technical UniversityDon State Technical UniversityDon State Technical UniversityDon State Technical UniversitySome original modifications of the genetic algorithms for analyzing the stationary states of the chemical dynamic systems at the defined thermodynamic parameters, IC engines among others, are offered. The development feature is allocation of small and large equation parameters among the equations and their solutions. Along with the known neuronet methods, the development can be integrated in ‘Engine’ simulation system.https://vestnik.donstu.ru/jour/article/view/841genetic algorithmsneuronetscombustionexhausttoxicity.
spellingShingle Dmitry S. Girsh
Evgeny N. Ladosha
Svetlana N. Kholodova
Denis S. Tsymbalov
APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
Вестник Донского государственного технического университета
genetic algorithms
neuronets
combustion
exhaust
toxicity.
title APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
title_full APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
title_fullStr APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
title_full_unstemmed APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
title_short APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINE
title_sort application of bio inspired techniques to model toxic parameters of internal combustion engine
topic genetic algorithms
neuronets
combustion
exhaust
toxicity.
url https://vestnik.donstu.ru/jour/article/view/841
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AT evgenynladosha applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine
AT svetlanankholodova applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine
AT denisstsymbalov applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine