Adaptive Neuro-Fuzzy Recognition Technology Intersecting Objects

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The study discusses adaptive neuro-fuzzy methods of recognition of the multidimensional overlapping objects on the basis of the introduced concepts, generalized and modified operations of fuzzy set theory and neural networks. To improve recognition accuracy, proposed a combined approach including neural network analysis of generalized images based on Kohonen maps, and building systems fuzzy inference based on the identification of allocated clusters integral characteristics of the images. Using the derived system of diagnostic decision rules "If ... then" the comprehensive forecast map of oil South of Cheremshan field was built.

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683-688

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April 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gan G., Ma Ch., Wu J. Data Clustering: Theory, Algorithms and Applications, Philadelphia: SIAM, 2007, pp.247-286.

Google Scholar

[2] Gorbachev S.V., Zhdanov D.S., Zemlyakov I.Y., Svetlik M.V. Syryamkin V.I. Improving the recognition accuracy of broncho-pulmonary diseases on the basis of the bronhofonogramm phase time analysis, News of higher educational institutions. Physics, Tomsk, 10/2 (2013).

Google Scholar

[3] Kohonen, T. Self-Organizing Map, Proceedings of IEEE, USA, 78, 9 (1990) 1464-1480.

Google Scholar

[4] Pospelov D.A. New information technologies are the keys that will open the way to a new society news, artificial intelligence, 2 (1994) 57-76.

Google Scholar

[5] Syryamkin V.I., Gorbachev S.V. Application of neural network algorithms for image analysis of materials in X-ray microtomography, News of higher educational institutions. Physics, Tomsk, 10/2, pp.29-34.

Google Scholar

[6] Zadeh L.A. Fuzzy Sets as a Basis for a Theory of Possibility, Fuzzy Sets and Systems. 1, 1 (1978)15-23.

DOI: 10.1016/0165-0114(78)90029-5

Google Scholar