Article

Optical Memory and Neural Networks

, Volume 20, Issue 1, pp 43-58

First online:

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

  • W. L. Dunin-BarkowskiAffiliated withDepartment of Neuroinformatics, Center of Optical Neural Technologies, Scientific Research Institute for System Analysis Email author 
  • , Yu. A. FlerovAffiliated withA.A. Dorodnitsyn Computing Center, Russian Academy of Sciences
  • , L. L. VyshinskyAffiliated withA.A. Dorodnitsyn Computing Center, Russian Academy of Sciences

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access

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 networks models of cerebellum multidimensional data prognosis