[1] S. V. Gorbachev and V. I. Syryamkin, Neuro-fuzzy methods in
intellectual systems for processing and analyzing multidimensional
information, Tomsk: Tomsk State University (2014), 510.
[2] Janikow, Fuzzy Processing in Decision Trees, Proceedings of the
Sixth International Symposium on AI (1993), 360-367.
[3] V. V. Boyarshinova and D. K. Eltyshev, Integrated intellectual
assessment of the state of electrical equipment, Automated control
systems and information technologies: Materials Rus.
Scientific-practical. Conf., Perm, May 15, 2015 - Perm: Publishing
House of the Central Scientific and Technical University (2015),
243-248.
[4] S. V. Gorbachev and V. I. Syryamkin, Adaptive neuro-fuzzy
recognition technology intersecting objects, Applied Mechanics and
Materials, Volume 756 (Mechanical Engineering, Automation and Control
Systems) (2015), 683-688.
[5] V. G. Rubanov, Intellectual systems of automatic control, Unclear
management in technical systems: Textbook, V. G. Rubanov and A. G.
Filatov; Publishing House BSTU (2010), 170.
[6] A. Kaid, Methods for constructing the fuzzy affiliation of fuzzy
sets, Izvestiya Southern Federal University, Technical Sciences
â„–. 2(139) (2013), 144-152.
[7] L. A. Zadeh, Fuzzy sets, Information and Control 8(3) (1965),
338-353.
[8] D. Rutkovskaya, M. Pilinsky and L. Rutkowski, Neural networks,
genetic algorithms and fuzzy systems, Moscow (2006), 383.
[9] T. Kohonen, Self-Organizing Maps (Third Extended Edition), New
York (2001), 501.
[10] L. O. Chua and L. Yang, Cellular neural networks: Theory, IEEE
Transactions on Circuits and Systems CAS-35(10) (1988), 1257-1272.
[11] L. O. Chua and L. Yang, Cellular neural networks: Applications,
IEEE Transactions on Circuits and Systems CAS-35(10) (1988),
1273-1290.
[12] V. I. Anikin, Training of artificial neural network Kohonen
cellular automaton, V. I. Anikin and A. A. Karmanov; Information
Technology 11 (2014), 73-80.