Krapivin V.F., Mkrtchyan F.A., Klimov V.V. Solution of spectroellipsometric inverse task. In: Proceedings of the Eleventh International Symposium “Ecoinformatics Problems” (with the School-Seminar for Young Scientists), 2-4 December 2014, Moscow , РНТОРЭС им. А.С. Попова , С. 5-13.
Полный текст не доступен из этого репозитория. (Заказать копию)Аннотация
The task of liquid solutions identification is considered basing on the measurement data of optical characteristics delivered by the multi-channel spectroellipsometer. Learning decision making system is proposed. Four algorithms are proposed and analyzed for this task solution. These algorithms are based on different procedures for the spectral image recognition. Comparative empirical assessments are given for precision of these algorithms and dependence of index for identification reliability on the solution concentration is shown. Efficiency of proposed algorithms is shown by means of the examples of diagnostics of water systems located in South Vietnam. This study was supported by the Russian Fund for Basic Research (Project #13-01-00023-a). Keywords: spectroellipsometer, spectral image, cluster analysis, identification, liquid solution, algorithm
| Тип объекта: | Доклад на конференции или семинаре (Доклад) |
|---|---|
| Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Крапивин В.Ф., Мкртчян Ф.А., Климов В.В. |
| Подразделения (можно выбрать несколько, удерживая Ctrl): | 209 лаб. вычислительная |
| URI: | http://cplire.ru:8080/id/eprint/567 |
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