Sergey Dolenko
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 | 2012 | |
|---|---|---|
| c9 |      | Sergey Dolenko, Tatiana A. Dolenko, Sergey Burikov, Victor V. Fadeev, Alexey Sabirov, Igor Persiantsev: Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters. ICANN (2) 2012: 443-450 |
| 2009 | ||
| c8 | | Sergey Dolenko, Alexander Guzhva, Igor Persiantsev, Ju. S. Shugai: Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series. ICANN (2) 2009: 295-304 |
| c7 | | Alexander Guzhva, Sergey Dolenko, Igor Persiantsev: Multifold Acceleration of Neural Network Computations Using GPU. ICANN (1) 2009: 373-380 |
| c6 | | Sergey Dolenko, Alexander Guzhva, Eugeny Obornev, Igor Persiantsev, Mikhail Shimelevich: Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting. ICANN (2) 2009: 397-405 |
| 2005 | ||
| c5 | | S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai: Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data. ICANN (2) 2005: 527-532 |
| 2001 | ||
| c4 | | S. A. Dolenko, I. V. Boychuk, I. V. Churina, Tatiana A. Dolenko, Victor V. Fadeev, I. G. Persiantsev, Brian Carse: Solution of Inverse Problems in Laser Spectroscopy of Water Media with the Help of Neural Networks. FLAIRS Conference 2001: 470-474 |
| c3 | | S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai, Anthony G. Pipe: Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers. FLAIRS Conference 2001: 475-479 |
| c2 | | S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai, A. V. Dmitriev, A. V. Suvorova, I. S. Veselovsky: Solar Wind Data Analysis Using Self-Organizing Hierarchical Neural Network Classifiers. Multiple Classifier Systems 2001: 289-298 |
| 1998 | ||
| c1 |  | S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai: Construction of Hierarchical Neural Classifers by Self-Organizing Error Back-Propagation. NC 1998: 113-116 |
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