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Application of artificial neural networks to solve problems of identification and determination of concentration of salts in multi-component water solutions by Raman spectraстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 4 февраля 2014 г.
- Авторы: Burikov S.A., Dolenko T.A., Dolenko S.A., Persiantsev I.G.
- Журнал: Optical Memory and Neural Networks (Information Optics)
- Том: 19
- Номер: 2
- Год издания: 2010
- Издательство: Allerton Press Inc.
- Местоположение издательства: United States
- Первая страница: 140
- Последняя страница: 148
- DOI: 10.3103/S1060992X10020049
- Аннотация: In this paper, the results of elaboration and comparative analysis of approaches concerned with application of neural network algorithms for effective solution of problem of pattern recognition (inverse problem with discrete output) along with inverse problem with continuous output are presented. Consideration is carried out at the example of problem of identification and determination of concentrations of inorganic salts in multi-component water solutions by Raman spectra. The studied approach is concerned with solution of both problems (classification and determination of concentrations) using a single neural network trained on experimental or quasi-model data. В© 2010 Allerton Press, Inc.
- Добавил в систему: Доленко Татьяна Альдефонсовна