The Use of Principle Component Analysis in Type Classification of Air-dry Peat / N. V. Chukhareva, A. G. Zarubin, O. Bulgakova
Уровень набора: (RuTPU)RU\TPU\network\2499, IOP Conference Series: Earth and Environmental ScienceЯзык: английский.Страна: .Серия: Comprehensive Utilization of Mineral ResourcesРезюме или реферат: The Use of Principle Component Analysis in Type Classification of Air-dry Peat The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLSDA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors..Примечания о наличии в документе библиографии/указателя: [References: 14 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | компонентный анализ | классификация | торф | воздушно-сухой торф | дискриминантный анализ | статистический анализ | физико-химический анализ | ИК-спектры Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 14 tit.]
The Use of Principle Component Analysis in Type Classification of Air-dry Peat The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLSDA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors.
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