Use of Wavelet Neural Networks to Solve Inverse Problems in Spectroscopy of Multi-component Solutions

Author:

Efitorov AlexanderORCID,Dolenko SergeyORCID,Dolenko TatianaORCID,Laptinskiy Kirill,Burikov Sergey

Publisher

Springer International Publishing

Reference21 articles.

1. Burikov, S.A., Dolenko, S.A., Dolenko, T.A., Persiantsev, I.G.: Application of artificial neural networks to solve problems of identification and determination of concentration of salts in multi-component water solutions by Raman spectra. Opt. Mem. Neural Netw. (Inf. Opt.) 19(2), 140–148 (2010)

2. Dolenko, S.A., Burikov, S.A., Dolenko, T.A., Persiantsev, I.G.: Adaptive methods for solving inverse problems in laser Raman spectroscopy of multi-component solutions. Pattern Recogn. Image Anal. 22(4), 551–558 (2012)

3. Efitorov, A., Dolenko, T., Burikov, S., Laptinskiy, K., Dolenko, S.: Neural network solution of an inverse problem in Raman spectroscopy of multi-component solutions of organic salts. In: Samsonovich, A.V. et al. (eds.) FIERCES 2016, Advances in Intelligent Systems and Computing, vol. 449, pp. 273–279. Springer, Heidelberg (2016)

4. Zhang, Q., Benveniste, A.: Wavelet networks. IEEE Trans. Neural Netw. 6, 889–898 (1992)

5. Li, S., Chen, S.: Function approximation using robust wavelet neural networks. In: 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2002), Proceedings, Washington, DC, USA, pp. 483–488 (2002)

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