The Use of Principle Component Analysis in Type Classification of Air-dry Peat
| Parent link: | IOP Conference Series: Earth and Environmental Science Vol. 21: XVIII International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development 7–11 April 2014, Tomsk, Russia.— 2014.— [012045, 5 p.] |
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| প্রধান লেখক: | |
| সংস্থা লেখক: | |
| অন্যান্য লেখক: | , |
| সংক্ষিপ্ত: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
2014
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| মালা: | Comprehensive Utilization of Mineral Resources |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://iopscience.iop.org/1755-1315/21/1/012045 |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638295 |
| সংক্ষিপ্ত: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
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