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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 mathema...

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Autori principali: Yuanquan Shi, Xiaojie Liu, Tao Li, Xiaoning Peng, Wen Chen, Ruirui Zhang, Yanming Fu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer 2010-12-01
Serie:International Journal of Computational Intelligence Systems
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Accesso online:https://www.atlantis-press.com/article/2124.pdf
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