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 2011-09-01
Series:Advanced Engineering Research
Subjects:
Online Access:https://www.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-62f66affba7c48a79d1d84818163fc4d2023-03-13T07:31:21ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532011-09-01118-111621168829APPLICATION OF BIO-INSPIRED TECHNIQUES TO MODEL TOXIC PARAMETERS OF INTERNAL COMBUSTION ENGINEDmitry S. Girsh0Evgeny N. Ladosha1Svetlana N. Kholodova2Denis S. Tsymbalov3Донской государственный технический университетДонской государственный технический университетДонской государственный технический университетДонской государственный технический университетSome 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://www.vestnik-donstu.ru/jour/article/view/841генетические алгоритмынейросетигорениевыхлопные газытоксичность.
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
Advanced Engineering Research
генетические алгоритмы
нейросети
горение
выхлопные газы
токсичность.
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 генетические алгоритмы
нейросети
горение
выхлопные газы
токсичность.
url https://www.vestnik-donstu.ru/jour/article/view/841
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AT evgenynladosha applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine
AT svetlanankholodova applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine
AT denisstsymbalov applicationofbioinspiredtechniquestomodeltoxicparametersofinternalcombustionengine