Open Access
Issue
E3S Web Conf.
Volume 411, 2023
VI International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VI-2023)
Article Number 01007
Number of page(s) 7
Section Issues of the Energy Complex
DOI https://doi.org/10.1051/e3sconf/202341101007
Published online 10 August 2023
  1. A. Forrester, A. Sobester, A. Keane, Engineering design via surrogate modelling: a practical guide (John Wiley & Sons, New York City, 2008) [CrossRef] [Google Scholar]
  2. S. Grihon, S. Alestra, D. Bettebghor, E. Burnaev, P. Prikhodko, Comparison of different techniques for surrogate modeling of stability constraints for composite structures, in Proceedings of 1st International Conference on Composite Dynamics, DYNACOMP, 22-24 May 2012, Archanon, France (2012) [Google Scholar]
  3. S. Haykin, Neural networks: a complete course (Williams Publishing House, Moskow, 2006) [Google Scholar]
  4. K. Robert, Basic search neural networks (Williams Publishing House, Moskow, 2001) [Google Scholar]
  5. D. Erhan, Y. Bengio, A. Courville, P. Vincent, P. Manzagol, S. Bengio, J. Machine Learning Research, 11, 625 (2010) [Google Scholar]
  6. G. Kilin, B. Kavalerov, A. Suslov, I. Tyatenkov, Modeling gas turbine electro power station typical operating modes using pre-trained artificial neural network, Earth and Environmental Science, 990, 012028 (2022) [Google Scholar]
  7. C.Y. Liou, C.W. Cheng, J.W. Liou, D.R. Liou, Intelligent Science and Intelligent Data Engineering, 7751, 458 (2013) [CrossRef] [Google Scholar]
  8. A. Khurshudov, Learning large-scale images features using multi-layer sparse autoencoder, Herald of Computer and Information Technologies, 2, 27 (2014) [Google Scholar]
  9. X. Sun, B. Wang, Z. Wang, H. Li, He. Li, K. Fu, IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2387 (2021) [CrossRef] [Google Scholar]
  10. I. Drori, S. Zhang, R. Shutteleworth, L. Tang, A. Lu, E. Ke, K. Liu, L. Chen, S. Tran, N. Cheng, R. Wang, N. Singh, T. Patti, J. Lynch, A. Shporer, N. Verma, E. Wu, G. Strang, Proc. of the National Academy of Sciences, 119, 2123433119 (2022) [CrossRef] [Google Scholar]

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