Applied problems of the identification and regression analysis in stochastic structures with multimodal properties

Applied problems of the identification and regression analysis in stochastic structures with multimodal properties

We have been elaborating an approach founded on the identification of multimodal laws of the complex structure distribution in medicine, biology, chemistry of ultrapure materials and membrane technology as well as in technical applications. The method is based on the formulation and solution of inve...

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Main Authors: Kulikov Vladimir, Kulikov Alexander
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:ITM Web of Conferences
Online Access:http://dx.doi.org/10.1051/itmconf/20160603008
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spelling doaj-adb64e0488b54d16a43101243211eb752021-02-02T05:04:55ZengEDP SciencesITM Web of Conferences2271-20972016-01-0160300810.1051/itmconf/20160603008itmconf_ics2016_03008Applied problems of the identification and regression analysis in stochastic structures with multimodal propertiesKulikov Vladimir0Kulikov Alexander1Nizhny Novgorod State Technical University n. a. R. E. AlekseevNizhny Novgorod State Technical University n. a. R. E. AlekseevWe have been elaborating an approach founded on the identification of multimodal laws of the complex structure distribution in medicine, biology, chemistry of ultrapure materials and membrane technology as well as in technical applications. The method is based on the formulation and solution of inverse problems in mathematical physics for the respective probability density functions. The verification of the used algorithmic tools is carried out on model limited-scope samples. For stochastic structures and systems under study the method is supplemented with an original option of a regression analysis taking into account the identified stochastic laws displaying numerical parameters into the binary space. The proposed approach has been tested on clinical material in practical medicine.http://dx.doi.org/10.1051/itmconf/20160603008
collection DOAJ
language English
format Article
sources DOAJ
author Kulikov Vladimir
Kulikov Alexander
spellingShingle Kulikov Vladimir
Kulikov Alexander
Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
ITM Web of Conferences
author_facet Kulikov Vladimir
Kulikov Alexander
author_sort Kulikov Vladimir
title Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
title_short Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
title_full Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
title_fullStr Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
title_full_unstemmed Applied problems of the identification and regression analysis in stochastic structures with multimodal properties
title_sort applied problems of the identification and regression analysis in stochastic structures with multimodal properties
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2016-01-01
description We have been elaborating an approach founded on the identification of multimodal laws of the complex structure distribution in medicine, biology, chemistry of ultrapure materials and membrane technology as well as in technical applications. The method is based on the formulation and solution of inverse problems in mathematical physics for the respective probability density functions. The verification of the used algorithmic tools is carried out on model limited-scope samples. For stochastic structures and systems under study the method is supplemented with an original option of a regression analysis taking into account the identified stochastic laws displaying numerical parameters into the binary space. The proposed approach has been tested on clinical material in practical medicine.
url http://dx.doi.org/10.1051/itmconf/20160603008
work_keys_str_mv AT kulikovvladimir appliedproblemsoftheidentificationandregressionanalysisinstochasticstructureswithmultimodalproperties
AT kulikovalexander appliedproblemsoftheidentificationandregressionanalysisinstochasticstructureswithmultimodalproperties
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