Публикации / Патенты 

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• Priezzhev II , PCH Veeken, SV Egorov, AN Nikiforov, 2019, Seismic waveform classification based on Kohonen 3D neural networks with RGB visualization,  First Break, Volume 37, Issue 2, Feb 2019, p. 37 - 43
• Priezzhev II , PCH Veeken, SV Egorov, U Strecker, 2019, Direct prediction of petrophysical and petroelastic reservoir properties from seismic and well-log data using nonlinear machine learning algorithms, The Leading Edge, Volume 38, Issue 12, p. 949-958
• Kobrunov A., I. Priezzhev, 2016, Hybrid combination genetic algorithm and controlled gradient method to train a neural network, GEOPHYSICS, VOL. 81, NO. 4, 1–9. (скачать)
• Priezzhev, I., A. Scollard, and Z. Lu, 2014, Regional production prediction technology based on gravity and magnetic data from the Eagle Ford formation, Texas, USA, Denver SEG. (скачать)
• I Priezzhev, A Scollard, 2013, Fracture detection through seismic cube orthogonal decomposition, 2013 SEG Annual Meeting (скачать)
• I Priezzhev, A Scollard, 2012, Robust one-step (deconvolution+ integration) seismic inversion in the frequency domain,2012 SEG Annual Meeting (скачать)

Патент  - нейронные сети нового поколения на основе полнофункциональных активационных функций - нейронные сети Колмогорова