Methods of input data compression in neural network solution of inverse problems of spectroscopy of multi-component solutionsстатья

Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.

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[1] Methods of input data compression in neural network solution of inverse problems of spectroscopy of multi-component solutions / S. Dolenko, S. Burikov, T. Dolenko et al. // 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2003). Samara, September 23-28, 2013. Conference Proceedings. — Vol. 2. — IPSI RAS Samara, 2013. — P. 541–544. The paper presents the results of comparative analysis of input data compression methods for simultaneous neural network based solution of the problems of determination of types and concentrations of dissolved inorganic salts in multi-component water solutions by Raman spectra. It is demonstrated that use of uniform aggregation of input features allows decreasing the error of determination of partial concentrations of components by 16% on the average, with simultaneous reduction of the requirements to the resolution of spectral equipment. Use of non-uniform aggregation allows further error reducing for determination of partial concentrations of salts with complex anions.

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