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New opportunities in solution of inverse problems in laser spectroscopy due to application of artificial neural networksстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.
- Авторы: Gerdova I.V., Churina I.V., Dolenko S.A., Dolenko T.A., Fadeev V.V., Persiantsev I.G.
- Сборник: Proceedings of SPIE - the International Society for Optical Enineering
- Том: 4749
- Год издания: 2001
- Место издания: Minsk
- Первая страница: 157
- Последняя страница: 166
- DOI: 10.1117/12.468887
- Аннотация: Inverse problems in laser spectroscopy were solved by applying artificial neural networks (ANN). The use of ANN provided a better data processing technique than conventional variation algorithms. The model-based approach allowed the data sets used for training as large and representative as needed. The experiment-based approach was able to consider various factors affecting the studied object that were difficult to include in a model.
- Добавил в систему: Доленко Татьяна Альдефонсовна