| 000 | 03265nla2a2200481 4500 | ||
|---|---|---|---|
| 001 | 638295 | ||
| 005 | 20231030040242.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\2596 | ||
| 035 | _aRU\TPU\network\2595 | ||
| 071 | 6 | 0 | _adoi:10.1088/1755-1315/21/1/012045 |
| 090 | _a638295 | ||
| 100 | _a20141224d2014 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aGB | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aThe Use of Principle Component Analysis in Type Classification of Air-dry Peat _fN. V. Chukhareva, A. G. Zarubin, O. Bulgakova |
|
| 203 |
_aText _celectronic |
||
| 225 | 1 | _aComprehensive Utilization of Mineral Resources | |
| 300 | _aTitle screen | ||
| 320 | _a[References: 14 tit.] | ||
| 330 | _aThe 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. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 |
_0(RuTPU)RU\TPU\network\2499 _tIOP Conference Series: Earth and Environmental Science |
|
| 463 | 0 |
_0(RuTPU)RU\TPU\network\2501 _tVol. 21: XVIII International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development 7–11 April 2014, Tomsk, Russia _v[012045, 5 p.] _d2014 |
|
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aкомпонентный анализ | |
| 610 | 1 | _aклассификация | |
| 610 | 1 | _aторф | |
| 610 | 1 | _aвоздушно-сухой торф | |
| 610 | 1 | _aдискриминантный анализ | |
| 610 | 1 | _aстатистический анализ | |
| 610 | 1 | _aфизико-химический анализ | |
| 610 | 1 | _aИК-спектры | |
| 700 | 1 |
_aChukhareva _bN. V. _cspecialist in the field of oil and gas business _cassociate Professor, Tomsk Polytechnic University, candidate of chemical Sciences _f1967- _gNatalia Vyacheslavovna _2stltpush _3(RuTPU)RU\TPU\pers\30652 |
|
| 701 | 1 |
_aZarubin _bA. G. _cspecialist in oil field equipment _cAssociate Professor of Tomsk Polytechnic University, candidate of chemical sciences _f1978- _gAleksey Gennadievich _2stltpush _3(RuTPU)RU\TPU\pers\33282 |
|
| 701 | 1 |
_aBulgakova _bO. |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут природных ресурсов (ИПР) _bКафедра транспорта и хранения нефти и газа (ТХНГ) _h257 _2stltpush _3(RuTPU)RU\TPU\col\18661 |
| 801 | 2 |
_aRU _b63413507 _c20141225 _gRCR |
|
| 856 | 4 | _uhttp://iopscience.iop.org/1755-1315/21/1/012045 | |
| 942 | _cCF | ||