Optical Memory and Neural Networks

, Volume 20, Issue 1, pp 43–58

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

  • W. L. Dunin-Barkowski
  • Yu. A. Flerov
  • L. L. Vyshinsky
Article

DOI: 10.3103/S1060992X11010073

Cite this article as:
Dunin-Barkowski, W.L., Flerov, Y.A. & Vyshinsky, L.L. Opt. Mem. Neural Networks (2011) 20: 43. doi:10.3103/S1060992X11010073

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.

Keywords

artificial neural networksmodels of cerebellummultidimensional data prognosis

Copyright information

© Allerton Press, Inc. 2011

Authors and Affiliations

  • W. L. Dunin-Barkowski
    • 1
  • Yu. A. Flerov
    • 2
  • L. L. Vyshinsky
    • 2
  1. 1.Department of Neuroinformatics, Center of Optical Neural TechnologiesScientific Research Institute for System AnalysisMoscowRussia
  2. 2.A.A. Dorodnitsyn Computing CenterRussian Academy of SciencesMoscowRussia