Evolutionary Optimization of Case-Based Forecasting Algorithms in Chaotic Environments
Keyword(s):
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 computational precedent prediction scheme for chaotic processes as well as the evolutionary modeling method are described.
Keyword(s):
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2015 ◽
Vol 2015
◽
pp. 1-11
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1998 ◽
Vol 62
(3)
◽
pp. 242-247
2010 ◽
Vol 37
(Fall)
◽
pp. 123-130
◽
Keyword(s):
1998 ◽
Vol 355
(3)
◽
pp. 451-469
◽
2013 ◽