EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 377 (2023) E3S Web Conf., 377 (2023) 01005 References
Open Access
Issue
E3S Web Conf.
Volume 377, 2023
3rd International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2022)
Article Number 01005
Number of page(s) 8
Section Energetics
DOI https://doi.org/10.1051/e3sconf/202337701005
Published online 03 April 2023
  1. V.I. Idelchik, Electrical systems and networks, Energoatomizdat, Moscow (1989) [Google Scholar]
  2. D. Ortega, V. Reynboldt, Iterative methods for solving nonlinear equation systems with many unknowns, World Publ., Moscow (1975) [Google Scholar]
  3. S.G. Ankaliki, S.G. Gollagi, Power System Steady State Monitoring Using Artificial Neural Network, Journal of Engineering and Technology 1, 4–9 (2011) [CrossRef] [Google Scholar]
  4. N. Aishwarya, M.S. Sureban, Analysis of Steady State Stability of Power System using Artificial Neural Network, International Journal of Scientific & Engineering Research 10, 73–77 (2019) [Google Scholar]
  5. M. Khudayarov, N. Normamatov, Power system steady state calculations using artificial neural networks, E3S Web of Conferences 216, 01102 (2020) [CrossRef] [EDP Sciences] [Google Scholar]
  6. G.S. Fishman, Monte Carlo: Concepts, Algorithms, and Applications, Springer, New York (1996) [Google Scholar]
  7. R. Hecht-Nielsen, “Kolmogorov’s Map: Concepts, Algorithms, and Applications, Springer-Verlag, New York (1987) [Google Scholar]
  8. V.V. Kruglov, V.V. Borisov, Artificial neural networks, Theory and practice 2nd ed, Stereotype, Moscow (2002) [Google Scholar]
  9. A.N. Gorban, D. Wunsch, The general approximation theorem, Proceedings of the IJCNN, IEEE, Anchorage (1998) [Google Scholar]
  10. K.G. Sheela, S.N. Deepa, Review on methods to fix number of hidden neurons in neural networks, Mathematical Problems in Engineering 2013, 1–11 (2013) [CrossRef] [Google Scholar]
  11. V. Kurkova, Kolmogorov’s theorem is relevant, Neural Computation 3, 617–622 (1991) [CrossRef] [PubMed] [Google Scholar]
  12. Y. Liu, J.A. Starzyk, Z. Zhu, Optimizing number of hidden neurons in neural networks, Artificial Intelligence and Applications 2, 138–143 (2007) [Google Scholar]
  13. H.C. Yuan, F.L. Xiong, X.Y. Huai, A method for estimating the number of hidden neurons in feed-forward neural networks based on information entropy, Computers and Electronics in Agriculture 40, 57–64 (2003) [CrossRef] [Google Scholar]
  14. A.N. Refenes, E.B. Chan, Sound recognition and optimal neural network design, Microprocessing and Microprogramming 35, 783–789 (1992) [CrossRef] [Google Scholar]
  15. D.V. Vasenkov, Methods for training artificial neural networks, Computer Tools in Education 1, 20–29 (2007) [Google Scholar]
  16. S. Osovsky, Neural networks for information processing, Finance and Statistics, Moscow (2002) [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.