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Computer Optics, 2015, Volume 39, Issue 5, Pages 787–794
DOI: https://doi.org/10.18287/0134-2452-2015-39-5-787-794 (Mi co45) 		 
This article is cited in 8 scientific papers (total in 8 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Application of fuzzy neural networks for defining crystal lattice types in nanoscale images

O. P. Soldatovaa, l. A. Lyozina, I. V. Lyozinaa, A. V. Kupriyanovab, D. V. Kirshba

a Samara State Aerospace University, Samara, Russia
b Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
Full-text PDF (532 kB) Citations (8)
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DOI: https://doi.org/10.18287/0134-2452-2015-39-5-787-794
Abstract: The article proposes the application of neural fuzzy networks for defining the overlapping classes of crystal lattices. We discuss the following neural fuzzy networks: Takagi-Sugeno-Kung network and a modification of Wang-Mendel neural fuzzy network proposed by the authors. A three-step scheme of neural network training is proposed. The results prove the efficiency of the proposed approach for the determination of crystal lattice types.
Keywords: pattern recognition, nanoscale images, nanostructures, crystal lattice, neural fuzzy networks, Takagi-Sugeno-Kung network, Wang-Mendel network.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation
Russian Foundation for Basic Research 14-01-00369-а
14-07-97040-р_поволжье_а
15-29-03823
15-29-07077
6
This work was partially supported by the Ministry of Education and Science of the Russian Federation in the framework of implementation of the Program SSAU improve the competitiveness among the world's leading research and education centers for 2013-2020; Grants RFFI 14-01-00369-a, 14-07-97040-r_povolzhe_a, 15-29-03823, 15-29-07077; Program number 6 Basic Research Onita RAS "Bioinformatics, modern information technologies and mathematical methods in medicine" in 2015.
Received: 14.03.2015
Revised: 09.06.2015
Document Type: Article
Language: Russian
Citation: O. P. Soldatova, l. A. Lyozin, I. V. Lyozina, A. V. Kupriyanov, D. V. Kirsh, “Application of fuzzy neural networks for defining crystal lattice types in nanoscale images”, Computer Optics, 39:5 (2015), 787–794
Citation in format AMSBIB
\Bibitem{SolLyoLyo15}
\by O.~P.~Soldatova, l.~A.~Lyozin, I.~V.~Lyozina, A.~V.~Kupriyanov, D.~V.~Kirsh
\paper Application of fuzzy neural networks for defining crystal lattice types in nanoscale images
\jour Computer Optics
\yr 2015
\vol 39
\issue 5
\pages 787--794
\mathnet{http://mi.mathnet.ru/co45}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-5-787-794}
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    • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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