I. Persiantsev

发表

Computer model of the electron-beam excited XeF(B-X) laser

Ju. S. Shugai, N. Suetin, A. Rakhimov, 1991 .

Study of Influence of Parameter Grouping on the Error of Neural Network Solution of the Inverse Problem of Electrical Prospecting

I. G. Persiantsev, Igor Isaev, S. A. Dolenko, 2013, EANN.

Application of neural networks to fluorescent diagnostics of organic pollution in water

I. G. Persiantsev, S. P. Rebrik, Yuri N. Orlov, 1995, Other Conferences.

Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series

I. G. Persiantsev, S. A. Dolenko, Ju. S. Shugai, 2009, ICANN.

Global Variations and Asymmetry of the Sun During Extremely High Activity in October–November 2003

Yu. S. Shugai, A. Dmitriev, A. Zhukov, 2005 .

The automatic processing and analysis of solar image sequences

Ju. S. Shugai, I. Persiantsev, A. Ryazanov, 2006, Pattern Recognition and Image Analysis.

New opportunity solutions to inverse problems in laser spectroscopy involving artificial neural networks

I. G. Persiantsev, Sergey Dolenko, Tatiana A. Dolenko, 2002 .

Multifold Acceleration of Neural Network Computations Using GPU

I. G. Persiantsev, S. A. Dolenko, Alexander Guzhva, 2009, ICANN.

Determination of Gas Temperature in a CVD Reactor from Optical Emmission Spectra with the Help of Artificial Neural Networks and Group Method of Data Handling (GMDH)

A. V. Filippov, S. Dolenko, A. Serov, 1998 .

Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters

I. G. Persiantsev, Sergey Burikov, Tatiana A. Dolenko, 2012, ICANN.

Horizon of Neural Network Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth

I. G. Persiantsev, Vladimir Shiroky, Irina Myagkova, 2015, EANN '15.