کتاب های Hernández-Tamames, Juan Antonio; Mato Abad, Virginia; García-Álvarez, Roberto; González-Zabaleta, Javier; Pereira-Loureiro, Javier; Álvarez-Linera, Juan

download pdf Effect of water T2 shortening in the quantification of in-vitro proton MR spectroscopy, دانلود Effect of water T2 shortening in the quantification of in-vitro proton MR spectroscopy,Hernández-Tamames, Juan Antonio; Mato Abad, Virginia; García-Álvarez, Roberto; González-Zabaleta, Javier; Pereira-Loureiro, Javier; Álvarez-Linera, Juan, کتاب های Hernández-Tamames, Juan Antonio; Mato Abad, Virginia; García-Álvarez, Roberto; González-Zabaleta, Javier; Pereira-Loureiro, Javier; Álvarez-Linera, Juan,Wiley 2015-05-21, لیست کتاب های Wiley 2015-05-21,WorldCat, کتاب های WorldCat

گت بلاگز Internet Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils / دانلود فایل

مشخصات کلی Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils

نویسنده کتاب (Author):

Fernández-Lozano, Carlos; Cedrón, Francisco; Rivero, Daniel; Dorado, Julián; Andrade Garda, José Manuel; Pazos, A.; Gestal, Marcos

انتشارات (Publisher):

Emerald 2016-06

ویرایش و نوع فایل (Edition/Format):

 Downloadable article : English

منبع (Database):

WorldCat

عنوان ژورنال (Publication):

fernandez-lozano-c-cedron-f-rivero-d-dorado-j-andrade-garda-jm-pazos-a-gestal-m-using-genetic-algorithms-to-improve-support-vector-regression-in-the-analysis-of-atomic-spectra-of-lu

موضوع (Subject):

Genetic algorithms       Lubricant oils       Support       View all subjects      

توضیحات خلاصه (Summary):

[Abstract] Purpose – The purpose of this paper is to assess the quality of commercial lubricant oils. A spectroscopic method was used in combination with multivariate regression techniques (ordinary multivariate multiple regression, principal components analysis, partial least squares, and support vector regression (SVR)). Design/methodology/approach – The rationale behind the use of SVR was the fuzzy characteristics of the signal and its inherent ability to find nonlinear, global solutions in highly complex dimensional input spaces. Thus, SVR allows extracting useful information from calibration samples that makes it possible to characterize physical-chemical properties of the lubricant oils. Findings – A dataset of 42 spectra measured from oil standards was studied to assess the concentration of copper into the oils and, thus, evaluate the wearing of the machinery. It was found that the use of SVR was very advantageous to get a regression model. Originality/value – The use of genetic algorithms coupled to SVR was considered in order to reduce the time needed to find the optimal parameters required to get a suitable prediction model.  Read more…

ژانر / فرم:info:eu-repo/semantics/article

موضوع:Internet resource

نوع منبع:Internet Resource, Article

تمام نویسندگان / همکاران: Fernández-Lozano, Carlos; Cedrón, Francisco; Rivero, Daniel; Dorado, Julián; Andrade Garda, José Manuel; Pazos, A.; Gestal, Marcos

شناسه OCLC:979265382

Language Note:English

فهرست محتوا:http://hdl.handle.net/2183/17500

نویسنده : getblogs