Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior

The article presents an approach to configuration of an artificial neural network architecture and a training set size. Configuration is based on parameter minimization with constraints specifying neural network model quality criteria. The algorithm of artificial neural network architecture and trai...

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Main Authors: Aleksandr Georgievich Shumixin, Anna Sergeevna Boyarshinova
Format: Article
Language:Russian
Published: Institute of Computer Science 2015-04-01
Series:Компьютерные исследования и моделирование
Subjects:
Online Access:http://crm.ics.org.ru/uploads/crmissues/crm_2015_2/15704.pdf
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author Aleksandr Georgievich Shumixin
Anna Sergeevna Boyarshinova
author_facet Aleksandr Georgievich Shumixin
Anna Sergeevna Boyarshinova
author_sort Aleksandr Georgievich Shumixin
collection DOAJ
description The article presents an approach to configuration of an artificial neural network architecture and a training set size. Configuration is based on parameter minimization with constraints specifying neural network model quality criteria. The algorithm of artificial neural network architecture and training set size configuration is applied to dynamic object artificial neural network approximation.Series of computational experiments were performed. The method is applicable to construction of dynamic object models based on non-linear autocorrelation neural networks.
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spelling doaj.art-b0662905d96c49caa41be2117fbe51c52022-12-21T22:44:20ZrusInstitute of Computer ScienceКомпьютерные исследования и моделирование2076-76332077-68532015-04-017224325110.20537/2076-7633-2015-7-2-243-2512260Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behaviorAleksandr Georgievich ShumixinAnna Sergeevna BoyarshinovaThe article presents an approach to configuration of an artificial neural network architecture and a training set size. Configuration is based on parameter minimization with constraints specifying neural network model quality criteria. The algorithm of artificial neural network architecture and training set size configuration is applied to dynamic object artificial neural network approximation.Series of computational experiments were performed. The method is applicable to construction of dynamic object models based on non-linear autocorrelation neural networks.http://crm.ics.org.ru/uploads/crmissues/crm_2015_2/15704.pdfdynamic object modeltraining setartificial neural networkarchitecturetrainingoptimization of artificial neural network architecture
spellingShingle Aleksandr Georgievich Shumixin
Anna Sergeevna Boyarshinova
Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
Компьютерные исследования и моделирование
dynamic object model
training set
artificial neural network
architecture
training
optimization of artificial neural network architecture
title Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
title_full Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
title_fullStr Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
title_full_unstemmed Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
title_short Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
title_sort algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior
topic dynamic object model
training set
artificial neural network
architecture
training
optimization of artificial neural network architecture
url http://crm.ics.org.ru/uploads/crmissues/crm_2015_2/15704.pdf
work_keys_str_mv AT aleksandrgeorgievichshumixin algorithmofartificialneuralnetworkarchitectureandtrainingsetsizeconfigurationwithinapproximationofdynamicobjectbehavior
AT annasergeevnaboyarshinova algorithmofartificialneuralnetworkarchitectureandtrainingsetsizeconfigurationwithinapproximationofdynamicobjectbehavior