Science
We pick out 2 main scientific direction: machine learning and evolving connectionist models.
Publication list
1) Shcherbakov, М.V. Comparison of approximation models for fluid non-dimensional radial velocity in rotating convergent canals / N.L. Shcherbakova // Izv. VolgGTU. Serial"Actual problems of control, electronics and informatics ": - Volgograd, 2007. - Vol.2, - pg. 24-25.
2) Shcherbakov, М.V. Kamaev V.A. Synthesis of evolution adaptive neural networks model for identification[Electronic resource] / SICPRO'06. - Moscow., 2006. - pg. 2071-2082.
3) Shcherbakov, М.V. Road conditions automated forecasting system / V.A. Kamaev, D.A. Skorobogatchenko// Vestnik Komputernih I Informacionnih Tehnology. - 2004. – Vol.4. - pg. 2-6.
4) Shcherbakov, М.V. Neural Networks Technology for Indentification Of Hierarchical Complex Systems / V.A. Kamaev, D.P. Panchenko, // Vestnik Bryanskogo Gosudarstvennogo Tehnicheskogo Universiteta. - 2004. – Vol.1. - pg. 202-207.
5) Shcherbakov, М.V. Neural networks for complex system identification / V.A. Kamaev, // Vestnik Komputernih I Informacionnih Tehnology. - 2004. – Vol.3. - pg. 20-24.
Evolving connectionist models
| New generation of connectionist models is Evolving connectionist models. We try to find more acurate model for
identification and control of dynamic systems. |