Evolutionary Optimization of Case-Based Forecasting Algorithms in Chaotic Environments

Alexander Musaev, Ekaterina Borovinskaya
2021 Symmetry  
The problem of dynamic adaptation of prediction algorithms in chaotic environments based on identification of the situations-analogs in the database of retrospective observations is considered. Under conditions of symmetrical and unsymmetrical chaotic dynamics, traditional computational schemes of precedent prediction turn out to be ineffective. In this regard, a dynamic adaptation of precedent analysis algorithms based on the method of evolutionary modeling is proposed. Implementation of the
more » ... mputational precedent prediction scheme for chaotic processes as well as the evolutionary modeling method are described.
doi:10.3390/sym13020301 fatcat:7jbcfhe7enbg5nxzlbfoj24iye