Chaotic Time Series Prediction Using Immune Optimization Theory
نویسندگان
چکیده
منابع مشابه
Chaotic Time Series Prediction Using Immune Optimization Theory
To solve chaotic time series prediction problem, a novel Prediction approach for chaotic time series based on Immune Optimization Theory (PIOT) is proposed. In PIOT, the concepts and formal definitions of antigen, antibody and affinity being used for time series prediction are given, and the mathematical models of immune optimization operators being used for establishing time series prediction ...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2010
ISSN: 1875-6883
DOI: 10.2991/ijcis.2010.3.s1.4