Использование метода PLS-дискриминаций для классификации исходного и модифицированного торфа
| Parent link: | Перспективы развития фундаментальных наук.— 2015.— [С. 608-610] |
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| Summary: | Заглавие с экрана The use of partial least squares projections to latent structures with discriminant analysis (PLSDA) in classification of initial and modified peat by a set of properties is presented. Modification of peat is achieved by heating. The set of peat properties such as component composition, concentration of paramagnetic centers and IR-spectra was used. It is shown that a developed PLS-DA classification model allows estimating peat class (initial or modified) by a set of properties without prediction errors by using two or three latent variables. |
| Sprog: | russisk |
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2015
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| Serier: | Математика |
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| Online adgang: | http://earchive.tpu.ru/handle/11683/19202 http://www.lib.tpu.ru/fulltext/c/2015/C21/191.pdf |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=613061 |
| Fysisk beskrivelse: | 1 файл(411 Кб) |
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| Summary: | Заглавие с экрана The use of partial least squares projections to latent structures with discriminant analysis (PLSDA) in classification of initial and modified peat by a set of properties is presented. Modification of peat is achieved by heating. The set of peat properties such as component composition, concentration of paramagnetic centers and IR-spectra was used. It is shown that a developed PLS-DA classification model allows estimating peat class (initial or modified) by a set of properties without prediction errors by using two or three latent variables. |