Development of an artificial neural network with oscillatory neurons for recognition of spectral images-Reference-Cited by-同舟云学术

Development of an artificial neural network with oscillatory neurons for recognition of spectral images

Published:2020-03-09 Issue:7 Volume: Page:16-23
ISSN:2524-065X
Container-title:Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì
language:
Short-container-title:Vìsn. Nac. unìv. "Lʹvìv. polìteh.", Ser. Ìnf. sist. merežì

Author:

Peleshchak Roman^ORCID, ,Lytvyn Vasyl^ORCID,Peleshchak Ivan^ORCID,Vysotska Viktoriia^ORCID, , ,

Publisher

Lviv Polytechnic National University

Reference10 articles.

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2. 2. Jang J., Sun C., Muzutani E. (1997). Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. IEEE Transactions on Automatic Control, 42(10), 1482 - 1484. https://doi.org/10.1109/TAC.1997.633847

3. 3. Abiyev R., Kaynak O. (2008). Fuzzy wavelet neural networks for identification and control of dynamic plants - A novel structure and a comparative study, IEEE Trans. On Industrial Electronics, 55 (8), 3133 - 3140. https://doi.org/10.1109/TIE.2008.924018

4. 4. Bodyanskiy Y., Pliss I., Vynokurova O. (2010). Hybrid wavelet-neuro-fuzzy system using adaptive Wneurons. Wissenschaftliche Berichte, FH Zittau/Goerlitz, 106, 301 - 308.

5. 5. Vynokurova O. (2009). Hybrid adaptive neuro-fuzzy and wavelet-neuro-fizzy inferences systems of computational intelligence in signal processing tasks under high level noise. Adaptive automatic control systems, 15 (35), 113 - 120.

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