To the question on geometrization of abnormal structures of geochemical fields of hydrothermal ore deposits; Bulletin of the Tomsk Polytechnic University; Vol. 311, № 1
| Parent link: | Bulletin of the Tomsk Polytechnic University/ Tomsk Polytechnic University (TPU).— , 2006-2007 Vol. 311, № 1.— 2007.— [P. 79-84] |
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| Huvudupphovsman: | |
| Sammanfattning: | Заглавие с титульного листа Электронная версия печатной публикации Possibilities of various mathematical methods at geometrization of abnormal geochemical fields of ore deposits are discussed. Peculiarities of application of linear and nonlinear methods of image recognition are considered on the specific example for solution of these problems: discriminant analysis, multiple regression method, artificial neural networks. Conditions of optimum application of the named methods are defined. The opportunity of secondary aureoles mapping data application for identification of the primary abnormal geochemical field structure is shown |
| Språk: | engelska |
| Publicerad: |
2007
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| Serie: | Geochemistry |
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| Länkar: | http://www.lib.tpu.ru/fulltext/v/Bulletin_TPU/2007/v311eng/i1/14.pdf |
| Materialtyp: | Elektronisk Bokavsnitt |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=182513 |
| Fysisk beskrivning: | 1 файл (597 Кб) |
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| Sammanfattning: | Заглавие с титульного листа Электронная версия печатной публикации Possibilities of various mathematical methods at geometrization of abnormal geochemical fields of ore deposits are discussed. Peculiarities of application of linear and nonlinear methods of image recognition are considered on the specific example for solution of these problems: discriminant analysis, multiple regression method, artificial neural networks. Conditions of optimum application of the named methods are defined. The opportunity of secondary aureoles mapping data application for identification of the primary abnormal geochemical field structure is shown |