Open Access
MATEC Web Conf.
Volume 155, 2018
VIII International Scientific and Practical Conference “Information and Measuring Equipment and Technologies“ (IME&T 2017)
Article Number 01028
Number of page(s) 5
Published online 28 February 2018
  1. Assessment of the technological efficiency of geological and engineering operations. Methodical instructions. Version 1.0. (Moscow: NK Yukos, 2001). [Google Scholar]
  2. V. Sergeev, Training algorithms in control systems and information processing (Novosibirsk: Nauka, 1978). [Google Scholar]
  3. E. Gromakov, T. Aleksandrova and B. Ivanenko, IOP Conf. Series: Mat. Sc. and Eng. 124, 012015 (2016) [CrossRef] [Google Scholar]
  4. B. Ivanenko, S. Kostyuchenko, A. Parfenov, E. Muslimov and V. Yampolsky, Proc. – KORUS 2000: 4th Korea-Russia Inter. Symp. on Sci. and Tech. XP002908186, 17 (2000) [CrossRef] [Google Scholar]
  5. Neural networks. Statistica Neural Networks (Moscow: Goryachaya liniya – Telecom, 2000) [Google Scholar]
  6. A. Gorban and D. Rossiev, Neural networks on a personal computer (Novosibirsk: Nauka, 1996) [Google Scholar]
  7. A. Petelin and A. Eliseev, IOP Conf. Series: Mat. Sc. and Eng. 225, 012085 (2017) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.