Prognosis of dynamical systems behavior based on cerebellar-type neural technologies

Authors:
W. L. Dunin-Barkowski;Yu. A. Flerov;L. L. Vyshinsky
Affiliations:
Department of Neuroinformatics, Center of Optical Neural Technologies, Scientific Research Institute for System Analysis, Moscow, Russia;A.A. Dorodnitsyn Computing Center, Russian Academy of Sciences, Moscow, Russia;A.A. Dorodnitsyn Computing Center, Russian Academy of Sciences, Moscow, Russia
Venue:
Optical Memory and Neural Networks
Year:
2011

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Abstract

We consider a system of multidimensional data prognosis based on the supposed mechanics of short-term prediction of the data in the cerebellum. Presented are the general description of the system, the selected method of numerical calculations and examples of testing the system for the prognosis of data in test mathematical problems, in transportation problem and in energy consumption prediction. Test results have demonstrated that have demonstrated that the cerebellar-based module of data prognosis might an effective and practical tool for multidimensional predictions.