Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS

The authors present a design scheme of a bridge crane and also its simulation model. A regression model, which allows determining various parameters of the brifge crane’s working process, is built on the basis of the simulation model. It is concluded that the complexity of the regression expression...

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Main Authors: V. S. Shcerbakov, M. S. Korytov, M. Y. Arkhipenko, E. O. Volf
Format: Article
Language:Russian
Published: Siberian State Automobile and Highway University 2017-08-01
Series:Вестник СибАДИ
Subjects:
Online Access:https://vestnik.sibadi.org/jour/article/view/129
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author V. S. Shcerbakov
M. S. Korytov
M. Y. Arkhipenko
E. O. Volf
author_facet V. S. Shcerbakov
M. S. Korytov
M. Y. Arkhipenko
E. O. Volf
author_sort V. S. Shcerbakov
collection DOAJ
description The authors present a design scheme of a bridge crane and also its simulation model. A regression model, which allows determining various parameters of the brifge crane’s working process, is built on the basis of the simulation model. It is concluded that the complexity of the regression expression by increasing the number of its items beyond 12 doesn’t lead to further increasing the accuracy of approximation.
format Article
id doaj-art-bfec6dc08fbc43c29f5508c25c74dafc
institution DOAJ
issn 2071-7296
2658-5626
language Russian
publishDate 2017-08-01
publisher Siberian State Automobile and Highway University
record_format Article
series Вестник СибАДИ
spelling doaj-art-bfec6dc08fbc43c29f5508c25c74dafc2025-08-20T02:59:24ZrusSiberian State Automobile and Highway UniversityВестник СибАДИ2071-72962658-56262017-08-0102(42)8189125Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESSV. S. Shcerbakov0M. S. Korytov1M. Y. Arkhipenko2E. O. Volf3Siberian State Automobile and Highway academySiberian State Automobile and Highway academySiberian State Automobile and Highway academySiberian State Automobile and Highway academyThe authors present a design scheme of a bridge crane and also its simulation model. A regression model, which allows determining various parameters of the brifge crane’s working process, is built on the basis of the simulation model. It is concluded that the complexity of the regression expression by increasing the number of its items beyond 12 doesn’t lead to further increasing the accuracy of approximation.https://vestnik.sibadi.org/jour/article/view/129рабочий процесс мостового крананелинейная множественная регрессияточность аппроксимациикоэффициент регрессииабсолютная погрешность
spellingShingle V. S. Shcerbakov
M. S. Korytov
M. Y. Arkhipenko
E. O. Volf
Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
Вестник СибАДИ
рабочий процесс мостового крана
нелинейная множественная регрессия
точность аппроксимации
коэффициент регрессии
абсолютная погрешность
title Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
title_full Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
title_fullStr Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
title_full_unstemmed Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
title_short Rationale of the multidimensional nonlinear REGRESSION MODEL of the PARAMETERS of bridge crane's WORKING PROCESS
title_sort rationale of the multidimensional nonlinear regression model of the parameters of bridge crane s working process
topic рабочий процесс мостового крана
нелинейная множественная регрессия
точность аппроксимации
коэффициент регрессии
абсолютная погрешность
url https://vestnik.sibadi.org/jour/article/view/129
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AT mskorytov rationaleofthemultidimensionalnonlinearregressionmodeloftheparametersofbridgecranesworkingprocess
AT myarkhipenko rationaleofthemultidimensionalnonlinearregressionmodeloftheparametersofbridgecranesworkingprocess
AT eovolf rationaleofthemultidimensionalnonlinearregressionmodeloftheparametersofbridgecranesworkingprocess