Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data-Reference-Cited by-同舟云学术

Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data

Published:2018 Issue: Volume: Page:435-444
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2018
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Author:

Isaev Igor,Burikov Sergey,Dolenko Tatiana^ORCID,Laptinskiy Kirill,Vervald Alexey,Dolenko Sergey^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01418-6_43

Reference24 articles.

1. Zhdanov, M.: Inverse Theory and Applications in Geophysics, 2nd edn. Elsevier, Amsterdam (2015)

2. Yagola, A., Kochikov, I., Kuramshina, G.: Inverse Problems of Vibrational Spectroscopy. De Gruyter, Berlin (1999)

3. Mohammad-Djafari, A. (ed.): Inverse Problems in Vision and 3D Tomography. Wiley, Hoboken (2010)

4. Zhdanov, M.S.: Geophysical Electromagnetic Theory and Methods. Methods in Geochemistry and Geophysics, vol. 43. Elsevier, Amsterdam (2009)

5. Spichak, V.V. (ed.): Electromagnetic Sounding of the Earth’s Interior. Methods in Geochemistry and Geophysics, vol. 40. Elsevier, Amsterdam (2006)

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