Technology for Predicting the Lithology Cube Using Kolmogorov Neural Networks

References

1. KobrunovA., PriezzhevI.
   4.KobrunovA., PriezzhevI.Hybrid combination genetic algorithm and controlled gradient method to train a neural network // Geophysics, 2016. Vol. 81. № 4. Pp 1–9.
   [Google Scholar]
2. KolmogorovA.N.
   5.KolmogorovA.N.On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition.Dokl. Akad. Nauk USSR, 1957. Vol. 114. № 5, Pp. 953–956.
   [Google Scholar]
3. PriezzhevI.I.
   6.PriezzhevI.I.New age, Kolmogorov full functional neural network usage for nonlinear predictive seismic inversion // EAGE. Saint Petersburg 2020. Extended Abstracts.
   [Google Scholar]
4. PriezzhevI.
   7.PriezzhevI.New generation neural network based on Kolmogorov theorem and it application for predictions // GeoEurasia 2020, Moscow. Extended Abstracts.
   [Google Scholar]
5. Priezzhev, I., Shmaryan, L. and Bejarano, G.
   8.Priezzhev, I., Shmaryan, L. and Bejarano, G. [2008] Non-linear multi trace seismic inversion using neural network and genetic algorithm - “Genetic Inversion”: Annual Meeting St Petersburg, EAGE, Extended Abstracts
   [Google Scholar]
6. TikhonovA.N., ArseninV.Y.
   9.TikhonovA.N., ArseninV.Y.Solutions of ill-posed problems. V H Winston and Sons, Washington D.C. 1977.
   [Google Scholar]